Ironclad is the #1 contract lifecycle management platform for innovative companies.ย Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. LโOrรฉal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. Itโs the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.ย \nIronclad is writing the narrative that shows how beautiful and functional contracting will change business. Weโre a leader in the Forrester Wave for Contract Lifecycle Management. We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor's Best Places to Work 2023, Forbesโ 50 Most Promising AI Companies, Wing Venture Capital's Enterprise Tech 30, and Gartner's Magic Quadrant. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture.ย Weโre backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit www.ironcladapp.com or follow us on LinkedIn and Twitter.\nWhat You Will Be Doing:* As an Engineering Manager, you will be leading a team of talented, passionate engineers to build the future of digital contracting. You will be responsible for both defining and achieving the success of your team.\n* Manage and grow your engineering team - this involves deeply understanding your teamโs dynamics, micro culture and roadmap needs.\n* Foster a culture of technical excellence - this involves having input and a pulse on the tradeoffs your team is making on a day to day basis and helping your team deliver high quality products that work at scale against tight timelines.\n* Develop and deliver on an impactful roadmap - this involves partnering with the product manager, designers, managing cross-team dependencies, setting the vision for your team, ensuring every team member is bought in and is on the same page with respect to the โwhyโ. Foster a culture of innovation and creativity Fix whatโs broken - ย Leaders at Ironclad speak up about things that are broken and contribute to organizational solutions and process changes.\n* You will represent Ironclad to our prospects and customers that run the gamut from modern, category-defining companies to the Fortune 500. In partnership with design and product managers, you will build the world-class product development infrastructure and team that advances our vision to build the product that legal teams love. Best of all, youโll be joining a company of smart, driven, and low-ego teammates from places like Salesforce, Facebook, Google, Palantir, DocuSign, and Harvard Law.\n* Collaborate with designers, product managers, and other engineers to spec, design, and build features and systems\n* Work with quality engineers to define, build and maintain testing strategy\n* Provide thoughtful feedback to others on the team\n* Help interview and recruit talented engineers to Ironclad\n\nKey Skills:* Work on a modern stack built upon: TypeScript, ReactJS, Node.js, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required)\n* 2+ years of technical leadership or management experience in software engineering\n* 5+ years of software experience architecting, building, launching and maintaining complex systems (a formal degree is not required, we are prioritizing industry experience)\n* Passion for software engineering to build and ship great product\n* A high bar for quality\n* Passionate about mentoring, learning and sharing knowledge\n* Strong cross-team communication and collaboration skills\n* Ironcladโs Values: Drive, Intent, Integrity, and Empathy\n\nBenefits:* Health, dental, and vision insurance\n* 401k\n* Wellness reimbursement\n* Take what you need vacation policy\n* Generous parental leave for both primary and secondary caregivers\n\nBase Salary Range: $190,000 - $210,000The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironcladโs competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, HR, Testing, Cloud, Legal and Sales jobs that are similar:\n\n
$67,500 — $97,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nSan Francisco
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nAbout Cyngn \nBased in Menlo Park, CA, Cyngn is a publicly traded autonomous vehicle company. We have a culture of collaboration, diversity, and continuous learning. Whether at a warehouse, factory, or industrial facility, our self-driving technology can be deployed in various commercial domains across various vehicle form factors. To build this emergent technology, we seek innovative, motivated, and experienced leaders to join our team and move this field forward. If you like to build and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: \n\n\nWe are Small and Big. \nWith under 100 employees, Cyngn is still a company that operates with the energy of a startup. On the other hand, we are publicly traded. Combined, our employees not only work in close-knit teams with close mentorship from company leaders, but they also get access to the liquidity of our publicly traded equity. This gives our small team the opportunity to make a big impact in industries that other people arenโt touchingโwithout taking on the risks associated with untested organizations. \n\n\nWe Build Today and Deploy Tomorrow. \nOur employees arenโt just researchers but are creating reality. In other words, the autonomous vehicles weโre building are designed to go to real clients right away. We are driven by our passion for innovation, our ability to see the entire product, and the real impact of our work in the real world. At Cyngn, the distance between the theoretical and the actual is razor-thin. \n\n\nWe arenโt robots. We just build them. \nRead our Glassdoor reviews, and youโll find that one of the best things about working here is the people. We are an inclusive, diverse team of top talent with exceptional synergy. We thrive on open collaboration and a trusting and creative work environment that is fueled by our passion for the industry. At Cyngn, everyoneโs voice is valued, and each of our unique perspectives is celebrated. Itโs the people that allow our company to continue to grow bigger and better every day\n\n\nAbout this role: \nAs a Full Stack Engineer at Cyngn, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles. You will contribute to building a scalable, high-performance SaaS platform that enables real-time control and monitoring of autonomous vehicles. Your diverse skill set will allow you to seamlessly move between backend and frontend tasks, helping to create a cohesive and efficient system that empowers our customers to optimize their automated workflows and maximize operational efficiency.\n\n\n\nWhat you will do in this role\n* Develop and maintain both backend and frontend components of our cloud-based fleet management system\n* Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality\n* Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend\n* Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines\n* Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases\n* Implement responsive and intuitive user interfaces\n* Contribute to the development of advanced mapping features and geospatial data processing\n* Participate in code reviews, providing constructive feedback to peers\n* Assist in troubleshooting and resolving production issues across the full stack\n* Implement and maintain unit tests, integration tests, and end-to-end tests\n* Contribute to the continuous improvement of our development processes and tooling\n* Stay current with emerging technologies and best practices in full stack development\n\n\n\nWho you are\n* 5+ years of professional software development experience in full stack roles\n* Strong proficiency in backend development using Python, Go, Java, or similar languages\n* Solid experience with frontend development using React, Redux, and TypeScript\n* Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures\n* Experience with database design and management, both SQL and NoSQL\n* Knowledge of RESTful API design and implementation\n* Understanding of event-driven architectures and message queuing systems\n* Experience with containerization technologies such as Docker and Kubernetes\n* Familiarity with version control systems (e.g., Git) and CI/CD pipelines\n* Strong problem-solving skills and ability to debug complex issues across the full stack\n* Good understanding of software design patterns and architectural principles\n* Excellent communication skills and ability to work effectively in a collaborative team environment\n* Strong collaboration skills with low ego\n\n\n\nNice to haves\n* Experience with WebSocket implementations\n* Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling\n* Knowledge of IoT platforms or autonomous systems\n* Experience with data visualization and dashboard creation\n* Experience with performance optimization for both backend and frontend systems\n* Familiarity with time-series databases for handling sensor data\n\n\n\nBenefits & Perks\n* Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)\n* Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)\n* Company 401(k)\n* Commuter Benefits\n* Flexible vacation policy\n* Remote or hybrid work opportunities\n* Stock options for all full-time employees\n* Sabbatical leave opportunity after 5 years with the company\n* Paid Parental Leave\n* Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages\n* Monthly meal and tech allowances for remote employees\n\n\n\n\n\n$165,000 - $215,000 a year*Please note salary range is for Bay Area residents - we're still accepting remote applicants!\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, Docker, Java, Cloud, Typescript, API, Senior, Engineer and Backend jobs that are similar:\n\n
$65,000 — $97,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nMenlo Park, CA
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA is looking for outstanding software engineers to work on NVIDIAโs Data Center GPU Manager (DCGM) software. In this role you will work closely with the broader NVIDIA team to design and build Linux-based management agents, CLI tools and end-to-end integration solutions that combine GPUs with the rest of the data center software management ecosystem. We are focused on supporting NVIDIA products across HPC, cloud and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands rapidly. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, accounting and policy. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single node developer systems through large clusters with thousands of nodes. To be successful, you will need to have a strong Linux C/C++ background, familiarity with distributed software development, and a proven work ethic. You will be expected to jump in quickly and provide important contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot trends in the enterprise, cloud and datacenter. Come join us as we craft the future of accelerated computing and AI! What you'll be doing: Develop robust, scalable C++ user space data center management system software under Linux Build and maintain user-space libraries, agents, plugins, bindings and CLI tools Enable GPU management integration with the OSS ecosystem, including Kubernetes and Docker Support internal and external users through bug fixes, documentation and feature improvements Maintain high quality products through robust test coverage and smart design What we need to see: BS or higher in Computer Science or equivalent experience. 5+ years of meaningful industry experience with a strong C++ development background Familiarity with modern C++ standards (C++17/C++20). User space development and debugging expertise under Linux environments Experience with APIs and interface design. Experience with IPC and Multi-threading Outstanding written and verbal interpersonal skills Strong motivation and commitment to learn new skills Ability to implement all aspects of the software development lifecycle Ability to manage time in a fast, heavily multitasked environment Experience writing unit and system tests to ensure the correctness of fixes and new features Ways to stand out from the crowd: Development experience with Python, Go, and Rust. Experience with Jenkins and GitHub/GitLab CI/CD pipelines. Experience with containers, common orchestration frameworks and common logging/telemetry backends Experience with APIs and interface design. Exposure to GPU programming with CUDA. Experience with enterprise software development. Experience with cross-language interfaces (FFI, swig, etc.) in Go (CGO), Python, and Rust. Experience with metrics gathering/monitoring best practices. Experience with Open Telemetry, Prometheus, Grafana, DataDog, etc. Good understanding of extensive distributed systems and data-center operations/limitations. NVIDIA is widely considered to be one of the technology worldโs most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Cloud, Node, Senior and Engineer jobs that are similar:\n\n
$80,000 — $117,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nUS, WA, Redmond
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\nVerana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation โ JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings. \n\nExisting Verana Health investors GV (formerly Google Ventures), Casdin Capital, and Brook Byers also joined the round, as well as notable new investors, including the Merck Global Health Innovation Fund, THVC, and Breyer Capital.\n\nWe are driven to create quality real-world data in ophthalmology, neurology and urology to accelerate quality insights across the drug lifecycle and within medical practices. Additionally, we are driven to advance the quality of care and quality of life for patients. DRIVE defines our internal purpose and is the galvanizing force that helps ground us in a shared corporate culture. DRIVE is: Diversity, Responsibility, Integrity, Voice-of-Customer and End-Results. Click here to read more about our culture and values. \n\n Our headquarters are located in San Francisco and we have additional offices in Knoxville, TN and New York City with employees working remotely in AZ, CA, CO, CT, FL, GA, IL, LA, MA, NC, NJ, NY, OH, OR, PA, TN, TX, UT , VA, WA, WI. All employees are required to have permanent residency in one of these states. Candidates who are willing to relocate are also encouraged to apply. \n\nJob Title: Data Engineer\n\nJob Intro:\n\nAs a Data/Software Engineer at Verana Health, you will be responsible for extending a set of tools used for data pipeline development. You will have strong hands-on experience in design & development of cloud services. Deep understanding of data quality metadata management, data ingestion, and curation. Generate software solutions using Apache Spark, Hive, Presto, and other big data frameworks. Analyzing the systems and requirements to provide the best technical solutions with regard to flexibility, scalability, and reliability of underlying architecture. Document and improve software testing and release processes across the entire data team.\n\nJob Duties and Responsibilities:\n\n\nArchitect, implement, and maintain scalable data architectures to meet data processing and analytics requirements utilizing AWS and Databricks\n\nAbility to troubleshoot complex data issues and optimize pipelines taking into consideration data quality, computation and cost.\n\nCollaborate with cross-functional teams to understand and translate data needed into effective data pipeline solutions\n\nDesign solutions to solving problems related to ingestion and curation of highly variable data structures in a highly concurrent cloud environment.\n\nRetain metadata for tracking of execution details to reproducibility and providing operational metrics.\n\nCreate routines to add observability and alerting to the health of pipelines.\n\nEstablish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.\n\nResearch , perform proof-of-concept and leverage performant database technologies(like Aurora Postgres, Elasticsearch, Redshift) to support end user applications that need sub second response time.\n\nParticipate in code reviews.\n\nProactive in staying updated with industry trends and emerging technologies in data engineering.\n\nDevelopment of data services using RESTful APIโs which are secure(oauth/saml), scalable(containerized using dockers), observable (using monitoring tools like datadog, elk stack), documented using OpenAPI/Swagger by using frameworks in python/java and automated CI/CD deployment using Github actions.\n\nDocument data engineering processes , architectures, and configurations.\n\n\n\n\nBasic Requirements:\n\n\nA minimum of a BS degree in computer science, software engineering, or related scientific discipline.\n\nA minimum of 3 years of experience in software development\n\nStrong programming skills in languages such as Python/Pyspark, SQL\n\nExperience with Delta lake, Unity Catalog, Delta Sharing, Delta live tables(DLT)\n\nExperience with data pipeline orchestration tools - Airflow, Databricks Workflows\n\n1 year of experience working in AWS cloud computing environment, preferably with Lambda, S3, SNS, SQS\n\nUnderstanding of Data Management principles(governance, security, cataloging, life cycle management, privacy, quality)\n\nGood understanding of relational databases.\n\nDemonstrated ability to build software tools in a collaborative, team oriented environment that are product and customer driven.\n\nStrong communication and interpersonal skills\n\nUtilizes source code version control.\n\nHands-on experience with Docker containers and container orchestration.\n\n\n\n\nBonus:\n\n\nHealthcare and medical data experience is a plus.\n\nAdditional experience with modern compiled programming languages (C++, Go, Rust)\n\nExperience building HTTP/REST APIs using popular frameworks\n\nBuilding out extensive automated test suites\n\n\n\n\nBenefits:\n\nWe provide health, vision, and dental coverage for employees\n\n\n\n\n\n\n\nVerana pays 100% of employee insurance coverage and 70% of family\n\nPlus an additional monthly $100 individual / $200 HSA contribution with HDHP\n\n\n\n\n\n\n\n\nSpring Health mental health support\n\nFlexible vacation plans\n\nA generous parental leave policy and family building support through the Carrot app\n\n$500 learning and development budget\n\n$25/wk in Doordash credit\n\nHeadspace meditation app - unlimited access\n\nGympass - 3 free live classes per week + monthly discounts for gyms like Soulcycle\n\n\n\n\nFinal note:\n\nYou do not need to match every listed expectation to apply for this position. Here at Verana, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.\n\n \n\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, Docker, Testing, Cloud and Engineer jobs that are similar:\n\n
$70,000 — $100,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
\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 GFWโs 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 donโt 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 candidateโs 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 humanityโs 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
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nWashington, District of Columbia, United States
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.