\n\n\n\nWHAT YOU'LL DO\n\n\n* Create, maintain electrical system test strategy, and test plans for various UAV and Ground Control products.\n\n* Conduct electrical compliance and robustness testing such as MIL-STD-704 and MIL-STD-461.\n\n* Design and deploy electrical system integration test benches. (Iron Bird/Copper Bird/Lab Car).\n\n* Support on vehicle level to component level test requirement decomposition.\n\n* Analyze and drive coverage and analysis of failures observed in integration and system level testing.\n\n* Integration testing of electrical subsystems and functionality.\n\n* Leverage data analysis and existing tools to reproduce and characterize failures.\n\n* Develop and maintain test standards, design, and develop test equipment or procuring and handling purchased test capital equipment to support test readiness. \n\n* Support environmental reliability testing (HALT/HASS) efforts on PCBA and LRU level.\n\n* Support validation of automated test systems. \n\n\n\nREQUIRED QUALIFICATIONS\n\n\n* Bachelor’s degree in Electrical/Electronics, Computer, Mechanical Engineering, or related fields\n\n* 5+ years of relevant industry experience with emphasis on hardware validation and integration testing\n\n* Familiarity with hardware development life cycle, reliability, and compliance testing\n\n* General understanding of engineering concepts, principles, and theory with technical experience demonstrating the application of those concepts while ensuring safety and regulatory compliance\n\n* Familiarity with Python and/or MATLAB for data parsing and data visualization\n\n* Familiarity with electronics test equipment such as power supplies, electronic loads, oscilloscope, function generators, data acquisition and measurement sensors\n\n* Familiarity with environmental testing such as MIL-STD-704 and MIL-STD-461\n\n* Strong root cause analysis skills\n\n* Excellent written, verbal, interpersonal and communication skills\n\n* Ability to travel to and work at remote sites supporting test integration, commissioning and training as required\n\n* Must be able to obtain and hold a U.S. Top Secret security clearance\n\n\n\nPREFERRED QUALIFICATIONS\n\n\n* 10+ years of relevant industry experience\n\n* Pursuing a Master’s of Science or PHD in Electrical Engineering, Electronics Engineering Mechanical Engineering, Computer Science or related field\n\n* Experience with firmware integration, vehicle level validation and debugging\n\n* Demonstrated knowledge of regulatory compliance standards\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing, Travel, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nCosta Mesa, California, United States

\nWe currently seeking a Senior Data Engineer with 5-7 years’ experience. The ideal candidate would have the ability to work independently within an AGILE working environment and have experience working with cloud infrastructure leveraging tools such as Apache Airflow, Databricks, DBT and Snowflake. A familiarity with real-time data processing and AI implementation is advantageous.  \n\n\n\nResponsibilities:\n* Design, build, and maintain scalable and robust data pipelines to support analytics and machine learning models, ensuring high data quality and reliability for both batch & real-time use cases.\n* Design, maintain, optimize data models and data structures in tooling such as Snowflake and Databricks. \n* Leverage Databricks for big data processing, ensuring efficient management of Spark jobs and seamless integration with other data services.\n* Utilize PySpark and/or Ray to build and scale distributed computing tasks, enhancing the performance of machine learning model training and inference processes.\n* Monitor, troubleshoot, and resolve issues within data pipelines and infrastructure, implementing best practices for data engineering and continuous improvement.\n* Diagrammatically document data engineering workflows. \n* Collaborate with other Data Engineers, Product Owners, Software Developers and Machine Learning Engineers to implement new product features by understanding their needs and delivery timeously. \n\n\n\nQualifications:\n* Minimum of 3 years experience deploying enterprise level scalable data engineering solutions.\n* Strong examples of independently developed data pipelines end-to-end, from problem formulation, raw data, to implementation, optimization, and result.\n* Proven track record of building and managing scalable cloud-based infrastructure on AWS (incl. S3, Dynamo DB, EMR). \n* Proven track record of implementing and managing of AI model lifecycle in a production environment.\n* Experience using Apache Airflow (or equivalent) , Snowflake, Lucene-based search engines.\n* Experience with Databricks (Delta format, Unity Catalog).\n* Advanced SQL and Python knowledge with associated coding experience.\n* Strong Experience with DevOps practices for continuous integration and continuous delivery (CI/CD).\n* Experience wrangling structured & unstructured file formats (Parquet, CSV, JSON).\n* Understanding and implementation of best practices within ETL end ELT processes.\n* Data Quality best practice implementation using Great Expectations.\n* Real-time data processing experience using Apache Kafka Experience (or equivalent) will be advantageous.\n* Work independently with minimal supervision.\n* Takes initiative and is action-focused.\n* Mentor and share knowledge with junior team members.\n* Collaborative with a strong ability to work in cross-functional teams.\n* Excellent communication skills with the ability to communicate with stakeholders across varying interest groups.\n* Fluency in spoken and written English.\n\n\n\n\n\n#LI-RT9\n\n\nEdelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.\n\n\nWe use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.\n\n\nDXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.\n\n\nTo learn more, visit: https://www.edelmandxi.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nMeet The Team:\n\nThe Senior Business Intelligence Analyst must be able to translate business value goals into user-centered dashboards and visualizations and underlying data models that support decision-making while using best practices for user interaction and interface design. They must be comfortable starting with ill-defined datasets and problems and helping stakeholders to unpack what will be most helpful and achievable given the data available. They use statistical methods to test hypotheses and provide predictive modeling to uncover insights and assess data reliability for strategic planning and reporting. They work with data sets of various kinds and sizes in databases, spreadsheets, and data lakes, and must have strong SQL skills and be able to work in one or multiple BI frameworks depending on need (Power BI, Tableau, Looker, etc.). They must be comfortable working in an agile environment, have experience working with UIs that make data accessible and consumable, enjoy the challenge of highly complex technical contexts, and above all, is passionate about data and analytics.\n\nWhat You’ll Do: \n\n\n* Develop and implement novel solutions to monitor and improve business performance and efficiency starting from gathering requirements from stakeholders to partnering with data producing teams and other analysts to build and operationalize functional systems.\n\n* Define, instrument, and maintain new and existing business KPIs from scratch, leveraging SQL queries and Python scripting.\n\n* Build automation to ensure we can understand and act on business performance with accurate, scalable, and low latency solutions that require minimal maintenance.\n\n* Create actionable, user-friendly, and intuitive dashboards using Tableau or other tools - to surface business performance and support scalable data-driven decision making.\n\n* Ensure transparency of data quality by clearly documenting data sources and data validation processes and regularly auditing the results.\n\n* Work with IT staff to design and implement secure and sustainable paths for data access from systems to support timely dashboards.\n\n* Use out-of-the-box thinking to develop and implement solutions to unique challenges.\n\n* Create documentation and provide training to inform stakeholders and cultivate data literacy within the organization.\n\n* Answer complex business questions via ad-hoc SQL queries or Python notebooks to enable business owners to make critical decisions.\n\n\n\n\nA successful candidate will be:\n\n\n* Data-driven and highly analytical - you're able to translate data and insights into a meaningful story to drive strategy, action, and decision-making at an executive level.\n\n* Self-starter- you boldly pursue your work and love the responsibility of being personally empowered, constantly prioritizing your work amongst several projects.\n\n* Curious- you're innovative, creative, and constantly looking for opportunities to tweak and optimize.\n\n* Team Player- you love going heads down in SQL or Pandas, but also partnering with your teammates and stakeholders.\n\n\n\n\nWhat You’ll Need to Succeed: \n\n\n* Degree in Data Analysis, Statistics, Information Technology, Computer Science or related field.\n\n\n\n* BS+ 10+  years of experience OR MS+ 7+ years of experience OR PHD 5+ years of experience\n\n\n\n* 5+ years of experience in working with databases, business analytics, and large-scale data systems.\n\n* 5+ years of experience with database design, data modeling, or object modeling.\n\n* 5+ years of experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.).\n\n* Analytical thinking with a data-driven approach to problem solving and the ability to extract value from data and connect insights to business outcomes.\n\n* Ability to work under pressure and multi-task in a fast-paced/rapidly changing environment, comfortable with ambiguity.\n\n* Outstanding attention to detail, strong analytical and communication skills, comfortable working independently, strong listener, innovator, and the capacity to work under pressure to meet tight deadlines.\n\n* A team player with a professional “get it done” attitude.\n\n* Proven history of living the values important to Torc:  Integrity, Accountability, Respect, Innovation, Success\n\n\n\n\nBonus Points:\n\n\n* Ability to communicate complicated concepts and recommended courses of action to engage internal stakeholders.\n\n* Technology background with proven ability to quickly understand complex technology subjects.\n\n* Highly customer-focused, business-oriented, and objective-driven.\n\n* Ability to successfully manage multiple priorities and projects.\n\n\n\n\nPerks of Being a Full-time Torc’r\n\nTorc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:  \n\n\n* A competitive compensation package that includes a bonus component and stock options\n\n* 100% paid medical, dental, and vision premiums for full-time employees  \n\n* 401K plan with a 6% employer match\n\n* Flexibility in schedule and generous paid vacation (available immediately after start date)\n\n* Company-wide holiday office closures\n\n* AD+D and Life Insurance \n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\n\n\nJob Title: Senior Facial Character TD (Senior Character TD)  \n\n \n\n\nSummary: Responsible for authoring facial rigs from scratch or utilizing a variety of high-resolution scan-data; participate in facial research & development efforts; pioneer and recommend new tools, techniques and technology for pushing visual boundaries, performance and efficiency. Responsible for a strong understanding of FACS and facial anatomy, as well as cutting edge approaches to facial technology. \n\n \n\n\nEssential Duties and Responsibilities include the following:  \n\n\n\n\n* \n\nAuthors high quality photorealistic facial rigs based on FACS using blendshapes \n\n\n* \n\nAuthors rigging systems to augment or support blendshape-based facial rigs \n\n\n* \n\nAuthors or contributes to systems/workflows for integrating head and body rigs \n\n\n* \n\nCollaborates with Character Art, Animation, and Engineering teams to deliver the highest quality assets with animator/mocap friendly interfaces that run smoothly in engine  \n\n\n* \n\nContributes to tools for authoring and editing facial rigs (python/pyqt/pyside) \n\n\n* \n\nContributes to automated tools and workflows for runtime optimization  \n\n\n* \n\nContributes to tools for ingesting 3rd party facial rigs \n\n\n* \n\nContributes to facial animation systems such as facial solvers and R&D (python/C++/Machine Learning)  \n\n\n\n\n\n\n\n\n\n\n* \n\nSculpts FACS (from scratch if necessary) using deformers and/or sculpting tools \n\n\n* \n\nProcesses and cleans 3D or 4D scan data from FACS sessions \n\n\n* \n\nKeeps up with state-of-the-art approaches to facial rigging for photorealistic characters in film and games \n\n\n* \n\nHas strong understanding of facial shape transfer techniques and ability to implement shape transfer pipelines \n\n\n* \n\nMay be asked to direct actors through FACS during facial acquisitions \n\n\n* \n\nMay ingest and integrate facial assets from 3rd parties \n\n\n* \n\nMay be expected to maintain relationships and provide feedback to external vendors \n\n\n* \n\nOther duties may be assigned  \n\n\n\n\n\n\n\nSupervisory Responsibilities:  This role has no supervisory duties but may mentor other TD’s with regard to facial mechanics, rigging, sculpting, or solving techniques. \n\n \n\n\nQualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n \n\n\nEducation/Experience: Bachelor's degree (B.A.) from a four-year college or university; or five to seven years related experience and/or training; or equivalent combination of education and experience. One to four years of experience in character setup, Python scripting, a familiarity with MEL and a comprehensive understanding of all technical aspects of Maya animation. One to two years of animation training covering all basic animation principals.  \n\n \n\n\nLanguage Skills: Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents.  Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.  Ability to write speeches and articles for publication that conform to prescribed style and format.  Ability to effectively present information to top management, public groups, and/or boards of directors. \n\n \n\n\nMathematical Skills: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and linear algebra and trigonometry.  Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. \n\n \n\n\nReasoning Skills: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. \n\n\n\nComputer Skills: Expert-level experience with Maya. Experience sculpting details with ZBrush, Mudbox, or comparable; processing scan data with Wrap3 or comparable; with deformation transfer workflows. Preferred experience with machine-learning based solutions for facial scanning/authoring/solving (TensorFlow, PyTorch, etc); authoring plugins that aid in facial deformation transfer or solving (python or C++); and working with faces in realtime (Unity, Unreal or other). \n\n\n\n\nOther Skills: Strong understanding of state-of-the-art approaches to rigging photorealistic faces for film or games; of FACS, how it relates to facial anatomy, and ability to identify primary action units on sight; Understands current approaches to facial performance capture & solving; of modern approaches to scanning including lightstage and 4D scanning \n\n\n\nExpert understanding of facial skeletal and muscle anatomy; Passion for achieving highest quality detail through iteration and refinement. Ability to think outside the box to achieve more realistic solutions or optimize runtime performance. Passion for collaborating and sharing knowledge across teams.  \n\n\n\nPhysical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n \n\n\nWhile performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel. The employee is frequently required to sit and talk or hear. The employee is occasionally required to stand and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. \n\n \n\n\nWork Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The noise level in the work environment is usually quiet.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Education, Senior and Legal jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBurbank, California, United States

\nThe growing Match Group Central Platforms team is looking for an analyst to work cross-functionally with the Match Group organization, and our portfolio of brands, to help identify, understand, and improve business, operations, and product challenges. Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams. \n\n\nKnow where you belong. Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.\n\n\nWe are flexible and offer full remote or hybrid working models as options to accommodate our team. Match Group is headquartered in Dallas, TX, with offices in LA, Palo Alto, and New York. \n\n\n\n\n\nIn this role you will: \n* Own defining, tracking, and monitoring business KPIs for the Central Platforms Product team.\n* Partner with product managers to create hypotheses, define quantitative goals, and design experiments for roadmap projects\n* Partner with engineering to improve data collection through data infrastructure design, data pipelining, and warehousing solutions\n* Collaborate with cross-functional teams, including business stakeholders, developers, and data engineers, to identify data requirements, gather feedback, design and implement solutions.\n* Conduct exploratory data analysis to discover patterns and insights to inform future strategy. \n* Gather, compile, and extract meaningful insights from complex datasets, using statistical techniques and machine learning algorithms when applicable.\n* Summarize and evangelize your findings across the company; providing Executives, Product Managers, Engineering teams, and other Data Analysts with deep-dive quantitative analyses in an immediately usable format, extracting key insights from extensive, complex data sets\n* Proactively find opportunities to take analytics framework into the next level and lead stakeholders to adopt new frameworks and methodologies\n* Take ownership of ambiguous and complex analytical assignments\n\n\n\nWe could be a Match if you have: \n* 5+ years of progressive experience using quantitative analysis to make business-focused recommendations\n* 3+ years of analytics experience working directly with product managers or embedded within a product team\n* Experience with data warehousing, data pipelining solutions a plus\n* Familiarity with machine learning concepts and algorithms\n* Proven technical data analytics skills in working with large amounts of data at different levels of aggregation, from raw telemetry to metric stores. \n* Working knowledge of trust and safety analytics metrics (fraud signals, bad actor patterns, etc.)\n* Strong understanding of incrementally as well as sizing business problems and opportunities\n* Understanding of basic statistical concepts such as confidence interval, normal distribution, correlation, linear regression, and multivariate testing\n* Strong communication skills at different levels of organizational hierarchy\n* Proactive skill set that encompasses problem identification, analysis, solution definition, results, and communication\n* Proficiency with SQL, R and Python (or equivalent)\n* In depth experience with data visualization and analytical tools (E.g. Tableau, Power BI, Looker)\n\n\n\n\n$118,000 - $141,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n\n#LI-CENTRAL\n\n\n#LI-REMOTE\n\n\n#LI-CH1\n\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Embedded, Python and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\n\n \n \n \n\n\n\n\nThe data science community is diverse in skill sets, objectives, and preferences for tools and workflows. Through our innovative visualization tools and software, we enable the creation, analysis and sharing of data-driven insights across the globe. As a member of Plotly’s Engineering team, you will be part of a group that is passionate about solving complex problems and enabling a seamless user experience. Our team thrives on autonomy, collaboration, continuous learning, and pushing the boundaries of what's possible in the data viz space. As a member of our team, you will have the opportunity to work on cutting-edge technologies and contribute to innovative solutions that empower our customers to make data-driven decisions. You'll be working with a diverse team of experts across the organization who are committed to excellence and thrive in a fast-paced, dynamic environment.\n\n \n\n\n \n\nWe are seeking a highly skilled and experienced Senior Software Developer in Test (SDET) to join our dynamic team. As a Senior SDET, you will play a critical role in ensuring the quality and reliability of our products through the design, development, and execution of comprehensive automated testing strategies. You will collaborate closely with cross-functional teams, including developers, product managers, and quality assurance engineers, to identify areas for increasing our automated test coverage and enhance the overall software development process.\n\nThe technologies you would be working with include: \n\n\n* Cypress\n\n* JavaScript/TypeScript\n\n* React\n\n* Python\n\n* NestJS\n\n* Kubernetes for infrastructure orchestration\n\n* Cloud Providers: AWS, Azure, GCP (consumer and enterprise-level solutions) \n\n\n\nResponsibilities:\n\n\n* Design, develop, and maintain automated test scripts and test suites for functional, performance, and regression testing for APIs, Platform and UI software components.\n\n* Create detailed, comprehensive, and well-structured test plans, and test cases.\n\n* Test existing current products to identify, isolate, and track defects.\n\n* Perform manual tests, when necessary, to maintain a balanced approach alongside automated testing.\n\n* Ensure products meet business and technical requirements, customer expectations as well as performance and reliability standards.\n\n* Contribute to the strategic planning of Plotly's overall product testing strategy.Serve as a knowledgeable resource for testing automation, providing training and technical guidance to team members as needed.\n\n* Actively participate in code reviews, design discussions, and project planning meetings.\n\n* Use your creativity, curiosity, and resourcefulness to increase the quality at Plotly.\n\n* Block software releases if they don’t meet your standards (don’t worry, we’ll have your back!)\n\n* Help cultivate an environment of exceptional software quality. Educate and help others understand why they’ll soon love product quality as much as you do.\n\n* Train, mentor and educate fellow team members.\n\n\n\nJob Requirements:\n\n\n* Bachelor's degree in computer science or a related field.\n\n* 5+ years of related professional experience as a software developer or software developer in test\n\n* Proficient in writing test cases, developing automated scripts, and utilizing automation tool frameworks and maintaining test data sets.\n\n* Experience with load and performance testing including design, development, implementation and reporting.\n\n* Familiarity with  working in a containerized (Docker, Kubernetes) environment. \n\n* Experience with test automation frameworks and scripting programing languages such as Cypress, JavaScript and TypeScript.\n\n* Experience in testing API / Restful services.\n\n* Excellent organizational skills to handle multiple tasks within project timelines.\n\n* Effective communication skills for collaborating with cross-functional teams.\n\n* Demonstrates a strong passion for continuous learning and staying updated with emerging technologies, industry trends, and best practices in software testing and quality assurance.\n\n\n\n\nBonus Points \n\n\n* Experience with Python programming language\n\n* Exposure to data science and machine learning concepts.\n\n* Familiarity with Continuous Integration (CI) environments, particularly using Github Actions.\n\n* Knowledge of GitHub, CI, and DevOps practices.\n\n\n\n\nDon’t meet all the requirements, but you feel you would be a great fit to our plot-legion? Don’t hesitate to apply!\n\n \n\n\n \nWhat you can expect from us:\n\n\n\nHealth & Wellbeing\n\n\n* Comprehensive health coverage\n\n* Generous PTO \n\n* Parental leave top-up program\n\n\n\n\n\n\nGrowth & Future\n\n\n* Stock options for all full-time employees\n\n* Learning & development program\n\n* Work alongside a dedicated team \n\n\n\n\n\n\nFlexibility & Community\n\n\n* Remote-first work\n\n* Home office support\n\n* Employee led DE&I resource group\n\n* Plotly Community Forum\n\n\n\n\n\n\n\n\nWhy Plotly?\n\nUnleash your creativity and shape the future of data analytics! \n\nFounded by innovators and driven by our community of users and customers, we eagerly tackle every challenge, from crafting state-of-the-art UI for seamless data interaction to optimizing our graphing libraries and services for highly reliable performance. Our journey has only begun! \n\nWe are a tight-knit and quickly growing team where each member can make an immediate, meaningful impact. We take on complex problems, work hard, and are firm believers in the open-source mission. At Plotly, you'll work alongside a diverse team of first-class engineers, developers, scientists, and builders that challenge the status quo and set a high bar. We encourage each member of our team to explore and expand their skill sets continually, and to approach every problem with curiosity and an open mind. Together, we make it possible for people everywhere to share data and insights that make real impacts in business and around the world.\n\nPlotly is an equal-opportunity employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. If you require any accommodations, please let us know during the application process. \n\n\n\n \n\nDéveloppeur logiciel sénior en test\n\n \n\nLa communauté de la science des données est diversifiée en termes de compétences, d'objectifs et de préférences en matière d'outils et de flux de travail. Grâce à nos outils et logiciels de visualisation innovants, nous permettons la création, l'analyse et le partage d'informations basées sur les données à travers le monde.\n\nEn tant que membre de l'équipe d'ingénierie de Plotly, vous ferez partie d'un groupe passionné par la résolution de problèmes complexes et par une expérience utilisateur transparente. Notre équipe se nourrit d'autonomie, de collaboration, d'apprentissage continu, et repousse les limites du possible dans le domaine de la visualisation de données. En tant que membre de notre équipe, vous aurez l'opportunité de travailler sur des technologies de pointe et de contribuer à des solutions innovantes qui permettent à nos clients de prendre des décisions basées sur des données. Vous travaillerez avec une équipe diversifiée d'experts à travers l'organisation qui sont engagés à l'excellence et s'épanouissent dans un environnement dynamique et rapide.\n\n \n\n\n \n\nNous sommes à la recherche d'un développeur de logiciels en test (SDET) hautement qualifié et expérimenté pour rejoindre notre équipe dynamique. En tant que SDET senior, vous jouerez un rôle essentiel en garantissant la qualité et la fiabilité de nos produits grâce à la conception, au développement et à l'exécution de stratégies de test automatisées complètes. Vous collaborerez étroitement avec des équipes interfonctionnelles, notamment des développeurs, des chefs de produit et des ingénieurs en assurance qualité, afin d'identifier les domaines dans lesquels il est possible d'accroître la couverture de nos tests automatisés et d'améliorer le processus de développement logiciel dans son ensemble.\n\nLes technologies avec lesquelles vous travaillerez sont les suivantes:\n\n\n* Cypress\n\n* Python \n\n* JavaScript/TypeScript\n\n* React\n\n* NestJS\n\n* Kubernetes pour l'orchestration de l'infrastructure\n\n*  Fournisseurs de cloud : AWS, Azure, GCP (solutions grand public et d'entreprise) \n\n\n\nPrincipales responsabilités:\n\n\n* Concevoir, développer et maintenir des scripts de tests automatisés et des suites de tests pour les tests fonctionnels, de performance et de régression pour les API, la plateforme et les composants logiciels de l'interface utilisateur.\n\n* Créer des plans de test détaillés, complets et bien structurés, ainsi que des cas de test.\n\n* Tester les produits existants afin d'identifier, d'isoler et de suivre les défauts.\n\n* Effectuer des tests manuels, si nécessaire, afin de maintenir une approche équilibrée avec les tests automatisés.\n\n* Veiller à ce que les produits répondent aux exigences commerciales et techniques, aux attentes des clients ainsi qu'aux normes de performance et de fiabilité.\n\n* Contribuer à la planification stratégique de la stratégie globale de test des produits de Plotly. Servir de ressource compétente pour l'automatisation des tests, en fournissant une formation et des conseils techniques aux membres de l'équipe si nécessaire.\n\n* Participer activement aux revues de code, aux discussions sur la conception et aux réunions de planification de projet.\n\n* Vous avez la capacité d'utiliser votre créativité, votre curiosité et votre ingéniosité pour améliorer la qualité de Plotly.\n\n* Bloquer les versions logicielles si elles ne répondent pas à vos critères (ne vous inquiétez pas, nous vous soutiendrons !).\n\n* Contribuer à cultiver un environnement de qualité logicielle exceptionnelle. Sensibiliser et aider les autres à comprendre pourquoi ils aimeront bientôt la qualité des produits autant que vous.\nFormer, encadrer et éduquer les autres membres de l'équipe.\n\n\n\nExigences du poste:\n\n\n* Baccalauréat en informatique ou dans un domaine connexe.\n\n* Plus de 5 ans d'expérience professionnelle en tant que développeur de logiciels ou développeur de logiciels en test.\n\n* Vous maîtrisez la rédaction de cas de test, le développement de scripts automatisés, l'utilisation de cadres d'outils d'automatisation et la maintenance d'ensembles de données de test.\n\n* Expérience des tests de charge et de performance, y compris la conception, le développement, la mise en œuvre et l'établissement de rapports.\n\n* Familiarité avec le travail dans un environnement conteneurisé (Docker, Kubernetes).\n\n*  Expérience des cadres d'automatisation des tests et des langages de programmation de scripts tels que Cypress, JavaScript et TypeScript.\n\n* Expérience dans les tests d'API / services Restful.\n\n* Excellentes compétences organisationnelles pour gérer des tâches multiples dans le respect des délais du projet.\n\n* Compétences de communication efficaces pour collaborer avec des équipes interfonctionnelles.\n\n* Démontre une forte passion pour l'apprentissage continu et se tient au courant des technologies émergentes, des tendances de l'industrie et des meilleures pratiques en matière de tests de logiciels et d'assurance de la qualité.\n\n\n\nAtouts:\n\n\n* Expérience avec le langage de programmation Python\n\n* Exposition à la science des données et aux concepts d'apprentissage automatique.\n\n* Familiarité avec les environnements d'intégration continue (CI), en particulier avec GitHub Action.\n\n* Connaissance de GitHub, de l'intégration continue et des pratiques DevOps.\n\n\n\n\nVous ne répondez pas à toutes les exigences, mais vous pensez que vous seriez un bon candidat ? N'hésitez pas à poser votre candidature!\n\nCe que vous pouvez attendre de nous:\n\n\n\nSanté et bien-être\n\n\n* Couverture santé complète \n\n* Temps libre rémunéré généreux et horaires de travail flexibles \n\n* Programme de complément de congé parental\n\n\n\n\n\n\nCroissance et avenir\n\n\n* Options d'achat d'actions pour tous les employés à temps plein \n\n* Programme d'apprentissage et de développement \n\n* Travailler avec une équipe dévouée\n\n\n\n\n\n\nFlexibilité et communauté\n\n\n* Entièrement à distance \n\n* Soutien au bureau à domicile \n\n* Groupe de ED&I dirigé par les employés \n\n* Forum de la communauté Plotly\n\n\n\n\n\n\n\n \n\nPourquoi Plotly?\n\nLibérez votre créativité et façonnez l'avenir de l'analyse des données! \n\nFondé par des innovateurs et guidé par notre communauté d'utilisateurs et de clients, nous sommes impatients de relever chaque défi, de la conception d'une interface utilisateur pour une interaction transparente avec les données à l'optimisation de nos bibliothèques de graphiques et de nos services pour une performance hautement fiable. Notre voyage ne fait que commencer ! \n\nNous sommes une équipe soudée et en pleine croissance où chaque membre peut avoir un impact immédiat et significatif. Nous nous attaquons à des problèmes complexes, nous travaillons dur et nous croyons fermement en la mission de l'open-source. Chez Plotly, vous travaillerez aux côtés d'une équipe diversifiée d'ingénieurs, de développeurs, de scientifiques et de créateurs de premier ordre qui remettent en question le statu quo et placent la barre très haut. Nous encourageons chaque membre de notre équipe à explorer et à élargir continuellement ses compétences, et à aborder chaque problème avec curiosité et ouverture d'esprit. Ensemble, nous rendons possible le partage de données et d'informations qui ont un impact réel sur les entreprises et le monde entier.\n\n \n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, JavaScript, Cloud, API and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona. \n\n\nOur self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. \n\n\nWe also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. \n\n\nWe track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. \n\n\nWe’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.\n\n\nThe AirDNA Team\nAt AirDNA, we’re a team of data nerds on a mission to empower our customers to smartly grow their businesses. And we're looking for people with a broad range of experiences and perspectives, who are excited by our mission, values, and drive to change the short-term rental market. In short: Life is never boring here. And we genuinely live and breathe our company values: Happy, Hungry and Honest. People who are ready to exemplify these values are especially encouraged to apply. We invite you to apply even if you are unsure about whether you meet every single requirement in this posting. We carefully consider every application, not just those that check off all the boxes.\n\n\nThe Role\nAirDNA is looking for a Senior Data Engineer to help us build a solid and scalable data infrastructure and analytical environment. The ideal candidate enjoys data wrangling, optimizing data pipelines, and building solutions for data collections and analysis in parallelized and scaled out environments. The AirDNA infrastructure currently processes billions of data points and hosts databases well into terabyte-size ranges, making this an interesting and challenging opportunity.\n\n\n\nHere's what you'll get to do\n* Build and extend data pipelines, written in Scala and running on Spark\n* Tune Spark job performance \n* Write clean, performant Scala code\n* Work closely with our Product, Data Science and other Engineering teams to craft new products\n* Contribute to Python and Scala-based microservices running on kubernetes\n\n\n\nHere's what you'll need to be successful\n* 5 or more years of experience in a Data Engineer role\n* BS/BA in Computer Science\n* Experience developing cloud based pipelines\n* Strong experience with Spark\n* Experience with Scala, and exposure to Python\n* Experience with developing and deploying cloud-based data solutions\n* Experience in any of the following is considered to be an asset: streaming technology such as Kafka or Google Pub/Sub, Databricks, AWS / GCP, Postgres, Protobuf, Snowflake or other Data Warehousing solutions, and Test Driven Development \n* Ability to operate with strong ownership and independence\n\n\n\nTech stack\n* Scala\n* Python\n* Spark\n* Databricks\n* AWS EMR, Athena, RDS (Postgres), Redshift, and S3\n\n\n\nJob perks\n* Competitive cash compensation and benefits,  the salary range for this position is €100,000 - €120,000 per year. \n* Eligible for Company’s annual discretionary bonus program\n* 36 holidays per year\n* Continuing education stipend\n* Talented international team and a vibrant work environment\n* Bottom-up management: we listen to your ideas and implement them\n* Team building events\n* Dog friendly office!\n\n\n\n\n\nAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. \n\n\nWe are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email [email protected]. Please allow for 24 hours to process your request. \n\n\nBy applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Notice for Applicants. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Travel, Education, Cloud, Senior, Marketing and Engineer jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nEU

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

\nBuild and support self-serve tools for data exploration and analysis. Create and maintain data pipelines that enrich the data lake, data warehouse and drive critical business reports. Ensure data pipelines are robust and fault tolerant in order to have accurate data delivered in a timely manner. Build and maintain data models used by data consumers. Encourage software engineering best practices on the Analytics Engineering team. Coordinate and support data requests. Scale existing software system to meet the extraordinary application demand. Work in a cross-functional team to ensure data quality for all data consumers. Develop testing framework for data products. Build relationships with data consumers in order to ensure data quality across the organization. Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Lead new initiatives from conception to delivery to bring new features to the Analytics Platform. Work with leadership to identify opportunities that drive business value. Conduct performance tuning, troubleshooting and optimization of data solutions to improve system performance and stability. Stay current with industry trends and technologies and find ways to incorporate them into the Analytics Platform. Be a mentor and resource for colleagues. Position allows telecommuting from anywhere in the U.S. Salary: $139,464 - $191,500 per year. \n \nMinimum Requirements: Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field plus 5 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, or a related field, plus 3 years of professional experience as Application developer, software developer or any occupation/position/job title involving analytics software engineering. Must also have experience in the following: 3 years of professional experience performing analytic software engineering (including planning, analyzing, designing, developing, implementing, testing and maintaining software systems or applications); 3 years of professional experience with data modeling and data warehousing concepts; 2 years of professional experience with SQL, including optimizing queries against large data sets on a petabyte scale; 2 years of professional experience with Python 3.x; 2 years of professional experience using big data technologies including Spark, Databricks EMR, Snowflake, Hive, Hudi, Delta, or Hadoop; and 2 years of professional experience writing ETL data workflows.\n \nPlease email resume to: [email protected]. Please specify ad code HDLL\n\n\n\n\n$139,464 - $191,500 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.\n\nWhy Match Group?\n\n\nOur mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: \n\n\nMind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being\nFinancial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security\nUnplug – Generous PTO and 18 paid holidays so you can unplug\nCareer – Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work\nFamily – Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  \nCompany Gatherings – We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!\n\n\nWe are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. \n\n\nIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, Senior and Engineer jobs that are similar:\n\n $50,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nDallas, Texas

\nJob Posted: 1/4/24\n\nLocation: Americas (Pacific Time)\n\nHi there!\n\nZapier’s on a mission to make everyone more productive at work.  With millions of people benefiting from automation, we're excited to keep expanding our product and team. As we continue to scale our product and grow our team, we’re looking for an experienced Engineering Manager to manage a remotely distributed team of Site Reliability Engineers.\n\nOur Site Reliability Engineers collaborate closely with developers, aiding in the design, automation, and maintenance of services. While developers manage the services themselves, our SREs ensure they have the necessary tools and knowledge for success.\n\nIn this role, you'll work across various teams, ensuring your group offers the right support to developers. You'll coordinate multiple projects and collaborate directly with senior leaders to set project priorities. By nurturing your team's talents, you'll enhance application reliability through a software engineering approach to operations. This position allows you to impact every engineering team within the organization, utilizing a wide range of technologies. Maintaining strong relationships and effective communication with teams is key to your success.\n\nWhen issues arise, your team will be there to address root causes, learn from failures, and establish a robust and resilient system for our customers. We prioritize solutions that automate problems rather than relying on manual efforts.\n\nJoin us in our mission to revolutionize productivity through automation!\n\n \nThings We've Done Recently:\n\n\n* Developed numerous microservices within Kubernetes, spanning across multiple AWS accounts.\n\n* Actively participated in open-source Kubernetes initiatives to bolster our stack's autoscaling capabilities.\n\n* Scaled our infrastructure to effortlessly manage millions of daily requests.\n\n* Successfully executed substantial migrations involving hosting providers, database platforms, and stateful technologies.\n\n* Established efficient deployment pipelines utilizing GitLab and ArgoCD to facilitate continuous delivery.\n\n* Crafted user-friendly tools for instantaneously launching new Kubernetes services with a simple click.\n\n* Our journey has been filled with growth and innovation, and we're excited to continue pushing boundaries!\n\n\n\n\nWe know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. Hopefully, you'll take the leap of faith and apply.\n\nOur Commitment to Applicants\n\nCulture and Values at Zapier\n\nZapier Guide to Remote Work\n\nZapier Code of Conduct\n\nDiversity and Inclusivity at Zapier\n\n \nAbout You\n\n\n* \n\nYou're an effective team builder. This isn't your first leadership role and you've been in a direct leadership role for at least two years. You know how to hire, train, and develop Site Reliability Engineers from all backgrounds. You understand the benefits of building a diverse and inclusive SRE team. You value teamwork and believe in helping others feel safe to grow and develop. You help engineers get better at what they do, and you don’t need to be in the same room to help them succeed.\n\n\n* \n\nYou have a background in site reliability engineering. You’re comfortable talking about SLOs, incident management, and building a culture of reliability. You have empathy for our customers and our engineers who use our systems and are eager to make improvements for them. You seek to reduce toil and understand what it means to take a software engineering approach to operations.\n\n\n* \n\nYou're customer-focused. You seek to delight your customers. You have experience working directly with both internal and external customers to understand their needs. You know how to take a customer problem and help guide your team towards finding and implementing the best solution.\n\n\n* \n\nYou have excellent communication skills. You regularly work with engineers and other stakeholders, balancing engineering concerns (such as technical debt) with product concerns. Not only do you know how to share your knowledge with the team and document things well so they can be consumed asynchronously (we do this a lot as a remote company), but you know how to communicate effectively with software and support teams.\n\n\n* \n\nYou’re a strong leader. You lead by example and empathy, understand the business and how to prioritize project work, emphasize mentorship, and create an environment of learning. You understand that experimentation is essential and know how to support your team through that process. You encourage diversity of thought and know that the team is collectively stronger than any individual.\n\n\n* \n\nYou know the cloud. You’ve designed and maintained highly available, cloud-based infrastructures in AWS or another cloud offering. You understand how to leverage infrastructure as code tools and have experience implementing best practices for reliability and observability.  We use Terraform, Kubernetes, Redis, GitLab, and Datadog.\n\n\n* \n\nYou can code. You have experience with a language like Python or Go to create automated tools. You believe in hands-off deployments and infrastructure as code. Well-honed expertise with the fundamentals of software development goes a long way here.\n\n\n* \n\nYou value our values. At Zapier, our values are at the heart of how we work together and think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation. You see how these values can empower meaningful work, thrive in a collaborative setting, and are eager to continue growing excited to be part of the team.\n\n\n\n\n\n \nThings You’ll Do\n\nZapier is a fast-growing company, so you'll likely get experience on many different projects across the organization. Here are some things you'll probably do:\n\n\n* \n\nCollaborate closely with engineering peers to deliver high-quality, reliable, and efficient production software.\n\n\n* \n\n Champion the advancement of Site Reliability Engineering practices within the Engineering department.\n\n\n* \n\nLead the development of incident management processes and on-call response procedures.\n\n\n* \n\nOperate within an agile framework to provide essential infrastructure for Zapier's engineering team.\n\n\n* \n\nExecute the strategic vision of Production Engineering by identifying and delivering relevant backlog items.\n\n\n* \n\nFoster effective communication, monitoring, and leadership through weekly one-on-ones and team meetings.\n\n\n* \n\nKeep the leadership team informed of your team's progress through approaches like one-on-one discussions, updates, and regular team gatherings.\n\n\n* \n\nBuild rapport with each member of your Engineering Team (and beyond!) Support them through coaching and mentorship to help level up their skills.\n\n\n* \n\nActively participate in recruiting, onboarding, and training new engineers at Zapier, which may involve refining interview assessments and documentation.\n\n\n\n\n \nZapier Compensation Guiding Principles\n\nWe believe all Zapiens should be rewarded competitively and equitably, using practices that are simple and transparent. This philosophy ensures we’re able to find, grow, and retain exceptional people from a broad range of backgrounds. Here’s how we define our compensation principles:\n\n\n* Competitive: Zapier pays well among the technology sector.\n\n* Equitable: Consistent pay practices; Pay for impact.\n\n* Simple: Pay is well understood, and pay practices are built for scale.\n\n* Transparent: Zapiens know how pay works, including how their pay is determined.\n\n\n\n\nThe pay ranges for this role are:\n\nUnited States $184,000- $230,000- $276,000 USD\n\nCanada  $184,000- $230,000- $276,000 CAD\n\nA Candidate's compensation package is finalized once the interview process is concluded and accounts for demonstrated experience, job knowledge, skills,  abilities, and internal equity. We use a business impact approach to base pay, which means we set pay for all Zapier employees based on their demonstrated impact to Zapier’s success. In alignment with that philosophy, the upper half of a pay range is typically reserved for individuals who have consistently demonstrated a high impact in their current role and level while at Zapier.\n\nFor more information on Zapier’s Total Rewards please click here.\n \nHow to Apply\n\n\nAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of education or companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.\n\nAfter you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!\n\nZapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.\n\nZapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].\n\nApplication Deadline: The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.\n\nEven though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.\n\n#LI-Remote\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Education, Cloud and Senior jobs that are similar:\n\n $52,500 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nBackground: Global Fishing Watch is an international, non-profit organization committed to advancing ocean governance through increased transparency. We create and publicly share knowledge about human activity at sea to enable fair and sustainable use of our ocean. Founded in 2015 through a collaboration between Oceana, SkyTruth, and Google, GFW became an independent non-profit organization in 2017. Using cutting-edge technology, we create and publicly share map visualizations, data and analysis tools to enable scientific research and drive a transformation in how we manage our ocean. By 2030, we aim to monitor and map all commercial activity at sea, including all industrial fishing vessels, small-scale fishing activity, all large non-fishing vessels, and all fixed infrastructure such as aquaculture and oil rigs. We also plan to work with intergovernmental organizations and 30 governments around the globe to promote the adoption of transparency more widely and publicly share ocean data to drive better management of marine resources.\n\nThe Position\n\nThe Research and Innovation team at Global Fishing Watch (GFW) connects data science and machine learning experts with the scientific community to produce new datasets, publish impactful research, and empower others to use our data. This team harnesses satellite technology, machine learning, and big data to shed light on some of the most pressing issues facing the ocean.\n\nWe are now working to map the global footprint of commercial activity at sea, including the activity of all ocean-going vessels and fixed infrastructure. This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.\n\nThe Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data. The initial focus will be on vessel detection in high-resolution (3 m) PlanetScope optical imagery from Planet Labs, leveraging an existing model architecture developed for Sentinel-2. Subsequent work includes implementing new models to expand the detection capability to offshore infrastructure using new satellite imagery sources. The candidate will also collaborate closely with other members of the Research and Innovation team to correlate detected vessels (position, time and length) to vessels tracked by AIS. Finally, the candidate will work closely with the GFW Engineering and Product teams to ensure solutions are compatible and scalable within our cloud infrastructure. \n\nThe incumbent will gain experience working with leading researchers in the field and will interface daily with GFW’s team of data scientists and machine learning experts. They will develop further technical skills in programming, big data, and cloud computing while working for a globally diverse and fully distributed organization. The successful candidate will be organized and excited to help Global Fishing Watch develop strong partnerships and cutting-edge research. \n\nPrincipal Duties and Responsibilities\n\nModel development for small object detection\n\n\n* Design, train, and evaluate computer vision models for object detection in satellite imagery, with an emphasis on vessel detection in optical imagery \n\n* Implement preprocessing pipelines to obtain imagery and prepare it for annotation and modelling \n\n* Devise annotation strategies and tools for labelling vessels and fixed infrastructure in satellite images\n\n* Improve our training datasets and build new training datasets for other human-made objects, potentially managing external annotation services\n\n\n\n\nAdditional tasks may include\n\n\n* Provide technical support to the senior machine learning engineer(s) responsible for developing and advancing other Global Fishing Watch models\n\n* Assist data fusion efforts to integrate detections from multiple sources (e.g. Sentinel-1 SAR and Sentinel-2 optical), accounting for the recall of each model, length of the objects, cloudiness, and image resolution, among others\n\n* Analyze large amounts of data from various sources, such as vessel tracking, identity, and satellite imagery to identify trends, anomalies, and insights\n\n* Ensure the integrity and accuracy of key data pipelines and research BigQuery tables \n\n* Maintain and improve internal Python tools, such as modules and template repositories, to assist with migrating research projects from proof-of-concepts to automated prototypes\n\n* Lead or support eventual research publications and technical blog posts\n\n\n\nCandidate description\n\nSkills you should have\n\n\n* Bachelor's degree and at least four years of professional experience, or an equivalent combination of education and experience, in physical/earth sciences or a related field\n\n* Demonstrated skills and experience with Python\n\n* Strong foundation in mathematics and statistics\n\n* Familiarity working with geospatial data\n\n* Demonstrated experience working with cloud compute platforms and virtualized environments\n\n* Self-motivated with a strong curiosity and desire to learn new skills\n\n* Willingness to take ownership of projects and communicate project updates\n\n* Written and verbal communication skills in English\n\n* Ability to work with a remote team and embrace Slack, Google Suite, Jira, Notion and other collaborative tools\n\n\n\n\nAlso great\n\n\n* Some experience with database query languages such as SQL\n\n* Demonstrated experience with computer vision models\n\n* Demonstrated experience with frameworks such as TensorFlow or PyTorch\n\n* Familiarity with containerization tools like Docker and execution of models inside them\n\n* An appreciation for the complexities and rewards of collaborating in a remote, global and inclusive environment\n\n* Experience engaging with academic researchers and the peer-review process\n\n* Awareness of ethical considerations related to privacy and bias in satellite imagery analysis\n\n\n\n\nThe successful candidate will meet most, but not necessarily all, of the criteria above. Although it is obviously helpful, we do not expect that you already have a deep knowledge of building models or our key programming languages; we do expect that you have the aptitude to develop these skills and knowledge, and that you are excited about revealing human activity across the global ocean using these tools. If you don’t think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!\n\nAdditional Information\n\nReporting to: Senior Data Scientist / Senior Data Science Manager\n\nManages: NA\n\nLocation: Remote - we welcome candidates based in any country\n\nTerm: Permanent position\n\nFT/PT: Full-time\n\nRecruiting process\n\nA cover letter along with a CV will be requested to see how your experience and interest connect to the position. We expect the cover letter to explain details on how your skills, interests, and aspirations align with the role. If selected for consideration, the hiring process for this position will include a formal 45 minute interview with 2-3 staff followed by a 30 minute administrative screening by a Human Resources manager. Candidates advancing beyond this round will be asked to take a technical assessment. Lastly, an informal 30 minute call with 3-4 members of the Research and Innovation team will be held with finalists.\n\nPlease apply by January 26, 2024\n\nWorking Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. The position will be part of a global team spanning many different time zones and so the candidate should be able to accommodate semi-regular early/late meetings to be able to work effectively. Weekend work may be required on occasion. The post holder may be required to undertake regional and international travel. No overtime is payable.\n\nCompensation: A compensation range for this position is US$ 90,000-$110,000 for US-based employees - For applicants located outside of the US, the pay range will be adjusted to the country of hire. Compensation is commensurate with experience and will vary depending on the hired candidate’s country of residence, in accordance with local laws and regulations. GFW offers pension/retirement, health and other benefits commensurate with similar level GFW employees in the country of employment. The position may be a GFW employee or consultant, depending on the country of residence  \n\nEqual opportunities: Global Fishing Watch is an equal opportunities employer. Global Fishing Watch is committed to promoting diversity and inclusion within our organization and in the greater ocean management and conservation community. We believe that diverse backgrounds, skills, knowledge, and viewpoints make us a stronger organization. Bringing together professionals who possess broad experiences and a spectrum of perspectives will enable us to reach our goal of improved ocean governance faster. We hire and promote qualified professionals without regard to actual or perceived race, color, religion or belief, sex, sexual orientation, gender identity, marital, or parental status, national origin, age, physical or mental disability or medical condition, or any other characteristic protected by applicable law. Our organizational goals match the urgent challenges facing our global ocean, and our mission is designed to help secure a healthy ocean for all. We are committed to building a workforce that is representative of humanity’s diversity, by providing an inclusive and welcoming environment for all employees of Global Fishing Watch and for our partners, vendors, suppliers, and contractors. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Accounting, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWashington, District of Columbia, United States

\n\nOpportunity:\n\nThe Connector Operations team’s mission is to ensure Airbyte’s catalog of over 300+ connectors is easy to work with and manage, for both connector developers and Airbyte users.  This includes the overall monitoring of the quality and performance of our connectors along with the process to build, test, monitor, publish, and certify them.  We also ensure that connectors are a pleasure to discover, install, and upgrade within the Airbyte product.   We are building the ‘app store’ for Airbyte Connectors - getting connector management right is the bread-and-butter of Airbyte.  Success looks like an ever-growing library where everyone on the planet can find a ready-to-use connector to move their data. \n\nWhile we give little importance to job titles, we believe every Airbyter should know their internal level and understand what’s expected of them in their role, at their level. This opportunity is for an L5+ Engineer. L5s contribute their deep expertise and experience to large-scale and complex problems. They drive impact by providing thought leadership and context to the organization, driving alignment across teams to achieve success with company objectives. L5s are often the senior-most member of their team and set a high bar for others to strive towards.\n\n \n\nWhat You'll Do:\n\n\n* Drive projects that enable Airbyte and our community to produce and maintain world-class connectors at a rapid pace.  This includes developing the ideal DX for connector developers which includes build tools, CI pipelines, and publishing workflows.\n\n* Develop changes to our core product(s) that make the experience of finding, upgrading, and configuring connectors as easy as possible.\n\n* Research and produce metrics that monitor the overall health of the Airbyte connectors ecosystem.\n\n* Build leverage via engineering: a week-long project this month should be a ten minute task next month.\n\n* Guide product decisions and the team roadmap with an engineering perspective.\n\n* Engage with the open-source community via Github, Slack, or community events.\n\n* Grow your teammates through mentorship\n\n\n\n\n \n\nWhat You'll Need:\n\n\n* 8+ years of software engineering experience\n\n* Experience working as a Staff, Senior Staff, or Principal level engineer\n\n* Proficiency in Java & Python - Our platform is written in Java/Kotlin and runs connectors in Java & Python; we use Python for connector tooling\n\n* Familiarity with tools like Github Actions, Docker, and Kubernetes and interest in building world-class developer experiences. \n\n* An automation and scalability mindset\n\n* A passion for continuous learning and improvement (both at a personal and team level)\n\n* Belief in our values\n\n\n\n\n \n\nLocation\n\n\n* \n\n\n* San Francisco, Hybrid two days a week\n\n\n\n\n\n\n\n\n\n\nWe provide\n\n\n* Flexible work environment - we don’t look at when you log in, log out or how much time you work. We look at your output and we trust you; it’s the only way remote can actually work. \n\n* Unlimited Paid Time Off - we need you at your best at all times. Our expected minimum time off of 25 PTO days per year lets you schedule your work around your life.\n\n* Co-working space - most of our team enjoys the WFH life but if you prefer to work from a co-working space, we will cover the full monthly cost.\n\n* Parental leave (for both parents) - we offer 16 weeks of paid parental leave for all new parents so you have time to adjust to the new life (and work) schedule introduced by your new bundle of joy.\n\n* Sponsored Travel - we are a distributed team, however, we recognize the value of in-person time. We sponsor annual company-wide retreats, team offsites, and Travel With Purpose in between to allow you to collaborate with your team in person on a regular basis.\n\n* Open book policy - we will pay for books you purchase for your professional and career development. \n\n* Continuous learning/training policy - we sponsor you for the conferences and training programs you feel would add to your development in the company. \n\n* Competitive benefits package for US-based employees, including:\n\n\n\n\n\n* \n\n\n* Blue Shield or Kaiser Medical Insurance \n\n\n* Airbyte covers 100% for both employees and dependents\n\n\n\n\n\n* Dental (including child & adult ortho) & Vision Insurance\n\n\n* Airbyte covers 100% for both employees and dependents\n\n\n\n\n\n* Life and AD&D Insurance\n\n\n* Airbyte covers 100% for employees\n\n\n\n\n\n* Short-term Disability Insurance \n\n\n* Airbyte covers 100% for employees\n\n\n\n\n\n* Long-term Disability Insurance\n\n\n* Airbyte covers 100% for employees\n\n\n\n\n\n\n\n\n\n\n\n\n\n* Healthcare insurance stipend for those outside the US whose countries do not provide it for free.\n\n* 401k for US-based employees.\n\n* FSA (flexible spending account)\n\n* Work Visas We currently sponsor H1B Transfers, TN Visas, and Green Cards. All other Visa requests will be discussed on a case by case basis to determine if we can sponsor.\n\n\n\n\n \n\nSalary for this job- $210,000- $250,000 +  a generous equity package, and benefits listed above for US Market. For countries outside of the US we offer benefits and localized salaries based on your region or area.\n\n \n\nAirbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n\nAirbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Java, Senior and Engineer jobs that are similar:\n\n $45,000 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nBlanc Labs is a preferred partner for global enterprises looking to digitize and automate their operations and build their next generation of digital products and services. Our successful engagement power companies to accelerate digital services and drive adoption and customer growth.\n\n\nBlanc Labs is looking for a Senior PHP Developer to design and implement new features as well as modify and maintain existing systems for adaptation to business and/or technology changes. You will drive the software change and release management processes, assisting with the overall maturity of the software development life cycle and most importantly build best-of-class products that delight our customers. You will have deep technical skills, be a self-starter, detail and quality-oriented, and be passionate about driving data-driven decisions and having a huge impact.\n\n\n\nEssential Duties and Responsibilities\n* Development and maintenance of the company’s proprietary software, services and APIs inclusive of our CRM and CMS\n* Working closely with the product team to design & develop per the roadmap.\n* Serve as a technical lead contributing to and directing the efforts of development teams, including internal and external team members.\n* Design, develop, modify, implement, and support software components anywhere in the software stack.\n* Determine the root cause for the most complex software issues and develop practical, efficient, and permanent technical solutions.\n* Research and learn new technologies. \n* Mentor Software Engineers to allow for skill/knowledge development through advice, coaching, and training opportunities.\n* Determine process improvements, and best practices, and develop new processes. \n* Work in close partnership with cross-functional teams and management. \n* Write clean, well-documented, scalable and quality code that is easy to understand and maintain using best coding practices.\n* Help break down complex business requirements into technical implementation.\n\n\n\nWhat You'll Need to Be Successful\n* Degree in Bachelor or Master in Computer Science, Engineering or related field. \n* Strong understanding of computer science fundamentals. \n* 5+ years of relevant industry experience.\n* 5+ years of relevant experience in PHP and MVC frameworks like Laravel.\n* Practical experience in Java, Node JS, Python is a plus. \n* Practical experience in API integrations such as Twilio, Salesforce, Zoho, Okta, and Slack. \n* Experience in front-end technologies such as React, Angular, Jquery or Javascript, HTML, and CSS for interactive and responsive design. \n* Interacting with Git version control to maintain organization and logging of codebase changes.\n* Demonstrated experience with Unit or Functional testing, Test Driven Development (TDD), and Performance testing. \n* Familiarity with continuous integration and continuous deployment with Bitbucket OR similar Pipelines.\n* Proficiency with cloud-based technologies such as Amazon Web Services (AWS) EC2, S3, Route 53, IMA, CloudFront, etc.\n* Practical experience with Jira Software for the project and issue tracking. \n* Practical experience with agile methodologies like scrum and kanban. \n* Knowledge of Docker containers and the New-Relic monitoring tool is a plus.\n* Excellent communication skills and proven ability to collaborate with a variety of teams. \n* Strong experience in architecting and developing modern web applications.\n\n\n\n\n\nBlanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com. \n\n\nBlanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, CSS, PHP, Node, API and Senior jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nColombia/Argentina

\nWe are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health's software applications. You will be embedded in a product development team focusing on the member experience which ensures that Spring Health benefit-eligible employees receive care in the most appropriate and effective way for their mental health journey. In this role, you will help your team to uncover and prioritize new product opportunities and make impact across the entire initiative launch cycle—from data collection design to experimentation to synthesizing actionable learnings and influencing product strategy. \n \n\nWhat you’ll be doing: \n\n\n* Conduct data analyses that influence the product strategy for improving the member experience. \n\n* Lead experimentation to help the product team reason about the impact their features are having on the member experience. \n\n* Collaborate with product, engineering, design, and UXR leads on defining key indicators of the quality of our member experience and uncovering opportunities to improve the user experience\n\n* Investigate user and care segmentation patterns to identify key product opportunities beyond therapy.\n\n* Collaborate with researchers to evaluate how coaching and other care options impact clinical outcomes. \n\n* Build necessary data models to enable analytics and reporting, and partner with data engineering on best practices. \n\n* Lead prioritization and roadmapping discussions from a data science perspective\n\n* Use appropriate advanced methods, from experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around member engagement patterns from enrollment through to retention.\n\n* Work with other data scientists and ML engineers to identify, prioritize, develop, and measure data-centric product features like personalized recommendations and adaptive care pathing. \n\n\n\n \n\nWhat we expect from you:\n\n\n* 5+ years of professional data science experience\n\n* Hands-on experience with experimentation and hypothesis testing\n\n* Proficiency with SQL and Python or R\n\n* Comfort with wrangling event log data\n\n* Experience with data modeling via dbt or similar tools\n\n* Experience working with data visualization and BI tools (e.g. Looker, Tableau) \n\n* Facility with a product development process in the context of a software product\n\n* Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business partners\n\n* Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment\n\n* Passion for successfully navigating ambiguous problem areas and learning new approaches\n\n* Willingness to travel (at least 1 time per year) to NYC for collaborative sessions and summits with the team\n\n\n\n \n\nWhat we’d love to see (bonus):\n\n\n* Familiarity with marketing SaaS metrics (e.g., CAC) and an interest in applying such efficiency models to novel domains.\n\n* Exposure to building and/or evaluating recommendation algorithms, tuning search and sorting algorithms is preferred\n\n\n\n \nThe target salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.\n\nDon’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!\n\nReady to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values\nHypergrowth meets impact\n\nWhat to expect working here:\n\n\nYou will be held accountable to an exceptionally high bar and impact\n\nThis may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact\n\nYou will be challenged to set and protect your own boundaries\n\nYou will create processes & products that have never existed before\n\nYou will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be\n\nChange is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows\n\n\n\n\nAnd…\n\n\nYou get to be surrounded by some of the brightest minds in the field  \n\nYou get to learn and grow at an extremely accelerated pace\n\nYou will experience transparency, integrity, &  humility from leadership \n\nYou will be empowered to constantly challenge the status quo\n\nYou get the space to experiment & innovate\n\nYou get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly\n\nYou will become more resourceful and resilient\n\nYou get to be part of a winning team that opens doors in the future\n\n\n\n \n\nBenefits provided by Spring Health:\n\nYour Total Health:\n\n\nGenerous medical, dental, vision coverage available day 1 + access to One Medical\n\n20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents\n\nFlexible paid time off in addition to 12 paid holidays throughout the year\n\n$500 per year Wellness Reimbursement\n\nAccess to Gympass, an on-demand virtual benefit that provides wellbeing coaching, and budget management.\n\nSabbatical Leave: When you’re a Team Member at Spring Health and hit your four-year Springaversary, you’ll be awarded a four week, fully paid, sabbatical leave. \n\n\n\n\nYou And Your family:\n\n\n4-4.5 months of fully paid parental leave\n\nSpring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.\n\nAccess to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience. \n\nAccess to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses\n\n\n\n\nSupporting you financially through:\n\n\nOur People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.\n\nOn top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!\n\nEmployer sponsored 401(k) match of up to 2% after 90 days of employment\n\n\n\n\nCreating a culture you can thrive in:\n\n\nFlexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices\n\nFocus Fridays: no meetings, no distractions, just time for you to get work done.\n\nFocus Weeks: In Spring 2023, we held our first ever Focus Week, we canceled all non-essential meetings, minimized distractions, and you, our team members, to dive into the key work that gets chopped up or deprioritized during the regular day-to-day. We saw a 36% jump in the average energized score after those five days of flow state work and are finalizing a plan for quarterly Focus Weeks for team members.\n\nUp to $1,000 Professional Development Reimbursement per calendar year.\n\n$200 per year donation matching to support your favorite causes\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Education, Senior and Marketing jobs that are similar:\n\n $57,500 — $97,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States