\nAbout HighLevel:\nHighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.\n\n\nOur Website - https://www.gohighlevel.com/\nYouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g\nBlog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/\n\n\nOur Customers:\nHighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.\n\n\nScale at HighLevel:\nWe operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.\n\n\nAbout the Role:\nWe are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems. This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the organisation.\n\n\n\nResponsibilities:\n* Software Engineering Excellence: Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patterns\n* Design, Build, and Maintain Systems: Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub/Sub, Kafka, RabbitMQ) and event-driven architectures\n* Data Pipeline Development: Design, develop and maintain data pipelines (ETL/ELT) to process structured and unstructured data from various sources\n* Data Storage & Warehousing: Build and optimize databases, data lakes and data warehouses (e.g. Snowflake) for high-performance querying\n* Data Integration: Work with APIs, batch and streaming data sources to ingest and transform data\n* Performance Optimization: Optimize queries, indexing and partitioning for efficient data retrieval\n* Collaboration: Work with data analysts, data scientists, software developers and product teams to understand requirements and deliver scalable solutions\n* Monitoring & Debugging: Set up logging, monitoring, and alerting to ensure data pipelines run reliably\n* Ownership & Problem-Solving: Proactively identify issues or bottlenecks and propose innovative solutions to address them\n\n\n\nRequirements:\n* 3+ years of experience in software development\n* Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field\n* Strong Problem-Solving Skills: Ability to debug and optimize data processing workflows\n* Programming Fundamentals: Solid understanding of data structures, algorithms, and software design patterns\n* Software Engineering Experience: Demonstrated experience (SDE II/III level) in designing, developing, and delivering software solutions using modern languages and frameworks (Node.js, JavaScript, Python, TypeScript, SQL, Scala or Java)\n* ETL Tools & Frameworks: Experience with Airflow, dbt, Apache Spark, Kafka, Flink or similar technologies\n* Cloud Platforms: Hands-on experience with GCP (Pub/Sub, Dataflow, Cloud Storage) or AWS (S3, Glue, Redshift)\n* Databases & Warehousing: Strong experience with PostgreSQL, MySQL, Snowflake, and NoSQL databases (MongoDB, Firestore, ES)\n* Version Control & CI/CD: Familiarity with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines for deployment\n* Communication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environment\n* Experience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus\n\n\n\n\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\n\n#LI-Remote #LI-NJ1 \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, JavaScript, Cloud, API, Marketing, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $90,000/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\nDelhi

\nPython Software Engineer, Boulder, Colorado, United States OR Remote within U.S. for well qualified candidates \n\n \n\nAbout Ascend \n\nAscend Analytics is an innovative climate technology software and consulting company focused on energy analytics to support an increasingly complex power grid. The company’s products enhance critical power supply decisions for an array of key energy market stakeholders, from short-term operating strategies to long-term investment and resource planning. Ascend recently announced a strategic growth investment from prominent software and climate technology investors Rubicon Technology Partners, a private equity firm which is focused on investing in and growing software companies, Galvanize Climate Solutions, which invests in companies and solutions advancing the energy transition, and Silversmith Capital Partners, a technology-focused growth equity firm. Read more about how the investment will accelerate Ascend’s product innovation here.  To learn more about Ascend, please visit us at www.ascendanalytics.com. \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\nJob Responsibilities \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\nRequired Qualifications\n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n5+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications\n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000            \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected]   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Design, Cloud, Junior, Sales, Engineer and Backend 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\nBoulder, Colorado, United States

\nPython Engineer, Boulder, CO OR Remote within U.S. for well qualified candidates\n\n \n\nYour Impact at Ascend Analytics \n\nAs a Back-End Software Engineer at Ascend Analytics, you will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe. \n\n \n\nAscend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit www.ascendanalytics.com. \n\nJob Responsibilities \n\nSupport and advance back-end software applications by: \n\n\nDesign and write clean, scalable, production code (our backend team primarily works in Python, and our frontend team works primarily in JavaScript) \n\nRefactor code for improved performance, stability, and scalability \n\nDevelop automatic tests (such as unit and integration tests) and deployment scripts \n\nImplement systems for collecting, storing, and working with data at scale \n\nWork with our team of analysts and data scientists to integrate and generalize prototype mathematical and data science models within production software \n\nCommunicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders \n\nMentor and guide junior engineers \n\nContribute to scoping and design discussions \n\nThis position involves working collaboratively both within your software team and outside with the front-end software engineers, data scientists, and technical sales team. The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning. \n\n\n\n\n \n\nRequired Qualifications \n\n\nBS or MS in Engineering, Computer Science, Data/Information Science, Physics, Operations Research, Statistics, Economics, or Power Systems \n\n2+ years as a back-end software engineer \n\n\n\n\nPreferred Qualifications \n\n\nDemonstrated academic or professional software coding experience in one or more of the following languages: Python, Ruby, .NET, Java, C++, C#, Kotlin, Rust, or Javascript, including object-oriented design \n\nFamiliarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) is strongly preferred \n\nExperience designing and developing full-stack applications and RESTful web services \n\nFamiliarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker \n\nData Science, including statistics, machine learning, and data visualization \n\nReferential databases, such as SQL Server, Oracle, or PostgreSQL \n\nAbility to communicate with impact and confidence, both orally and in writing \n\nStrong interpersonal skills, teamwork skills, and work ethic \n\nKnowledge of wholesale electricity markets; passion for renewables and storage \n\nExperience with code review, architecture, development, and promotion processes \n\n\n\n\nCompensation: $100,000 - $150,000, we may also consider Junior candidates in the range of $80,000 - $110,000                \n\nNegotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. \n\nWe offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  \n\nWe celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   \n\nAscend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected]   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Design, Consulting, Cloud, Sales, Engineer and Backend 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\nBoulder, Colorado, United States

Job Requisition ID # 23WD74138 Position Overview Embark on an enriching journey with Autodesk as a Software Architect, stepping into an important position important to the transformation and modernization of our mission-critical licensing platform. We are at the forefront of the company's licensing needs and have tremendous visibility and impact across all of Autodesk. The platform stack is complex and is integrated with the desktop as well as cloud products. In this role, you will influence the trajectory of our software systems. You will focus on improving the resiliency and scalability of the platform. You will ensure alignment with the latest industry best practices. In this capacity, you'll mentor a geographically dispersed development team, elevating the standards of engineering excellence across the board. Join us in shaping the future of software architecture at Autodesk. As part of this role, you will be reporting to the Director of Engineering. This job will be fully remote with occasional onsite workshops/meetings. This job also might need occasional travel to APAC. Responsibilities Collaborate with cross-functional teams to gain an understanding of the current system's architecture and functionality Develop a strategic direction for the licensing platform and ensure that the tactical direction is to support the larger strategy Drive broad consensus and agreement across teams and GEOs Lead the design and implementation of scalable, maintainable software solutions Provide technical guidance and mentorship to a geographically distributed development team, fostering collaboration and knowledge sharing Ensure the security, performance, and reliability of the platform Stay informed about emerging technologies and industry trends, incorporating them into the platform's architecture by conducting code and architecture reviews Raise the bar within the team and across the organization Partner with Product Management and Business leads regarding future platform and technology issues and the effect of decisions on all projects Create formal networks with industry and cross organizational leadership communities to develop standards, and foster platform growth Work on issues where analysis of situations or data requires and evaluation of intangibles Minimum Qualifications 10+ years of software engineering experience building large-scale distributed systems Have designed and implemented complex software systems Broad knowledge of AWS, server programming, databases, and cloud architectures Experience working with container frameworks (Docker) and container orchestration tools (AWS ECS, Kubernetes) Experience with Microservices, API architecture and management Work experience in a global and distributed environment Technology stack: Java/Spring, AWS/Containers, Go, R, and Python Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $160,000 and $258,720. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Not quite ready to apply? Join our talent community to stay up to date on new job opportunities and the latest Autodesk news. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, API and Sales 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\nAMER - United States - Oregon - Portland

Who we are:\nMediafly is a fully customizable sales application and sales enablement solution that empowers sellers and marketers to create dynamic, interactive, and value-focused selling experiences both in person and remotely.\n\nRead this first: \nResearch shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please apply. We'd love to have a chat to see what skills/experiences you are able to bring to this team.\n\nMediafly is seeking a Senior Software Engineer to help us build out our integrations and data pipeline architecture.\n\nResponsibilities of a Senior Software Engineer:\n•You will be working with a team of experienced engineers to develop integrations and data-processing solutions, primarily using Python\n•You will be working within the context of an existing Python codebase to improve data quality, throughput, and reliability\n•You will be porting some older code and writing some new code in Kotlin. \n•You will be helping your team implement modern best practices in areas such as data pipeline architecture, database design and maintenance, CI/CD pipelines, automated testing, and scaling cloud based data processing\n•You will have ownership over major product features, yet work closely enough with other team members to avoid major “silos of knowledge”\n•You will work collaboratively with other software engineers, and product owners to help see features through from idea to release\n\nYou will be successful in this role if:\n•You are a highly motivated coder with at least 5+ years of professional experience\n•You have a passion for building and scaling modern architectures to process terabytes of data\n•You are an experienced Python developer who also appreciates the benefits of static typing and pre-compiled languages; JVM or Kotlin experience isn’t necessary, as you can cross-train into these skills over your first few months in the job\n•You have a working understanding of relational databases and of efficient interaction with large database tables\n•You do your work with passion, not ego\n•You enjoy collaboration, yet are an independent thinker and producer\n•You have expertise you are willing to share with the team, and are open to learning from the expertise of others on the team\n•You have the ability to provide constructive coding and architecture feedback\n•You have interest and desire to stay informed of the latest technology and approaches\n\nNice-to-have technical skills:\n•JVM languages such as Java, Scala or Kotlin. \n•Experience accessing and writing client code for third party APIs\n•ElasticSearch or SolrVideo and/or audio conversion toolchains\n•Audio analysis libraries and toolsExperience working with data science libraries\n\nWhy Mediafly?\n• Remote based in US\n• Generous PTO\n• Competitive Salary\n• 401K Retirement Plan\n• Transparent Career Paths\n• Medical, Dental, Vision\n• 12 Paid Holidays\n• Paid Parental Leave\n• Remote Stipend\n\nProfessional development is a top priority here at Mediafly! Learn how we attract and retain top tech talent!\n\nhttps://www.mediafly.com/blog/attract-and-retain-top-tech-talent-with-professional-development/\n\n\nWe have over 200 employees between the US and UK. Thanks to our commitment to employee experience, Mediafly has been recognized as a Best Place to Work from Crain's, Inc. and BuiltIn. \n\nMediafly welcomes people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and encourage all interested individuals to apply. \n\nMediafly's HQ is based in Chicago, IL. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Python, Scala, Senior, Sales and Engineer jobs that are similar:\n\n $75,000 — $125,000/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\nUS

About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nThe Role\n\nIn this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. \n\nYou'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.\n\nThis is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.\n\nWhat you'll be doing\n\n• Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform\n• Effectively articulate best practices for instrumenting machine learning pipelines to our customers \n• Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems\n• Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded. \n• Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)\n• Develop and refine product documentation\n• Develop sample projects that can run seamlessly on the platform\n• Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback\n• Actively use Gradient features in a variety of scenarios to provide internal product guidance\n• Contribute ideas and feedback and help prioritize feature requests and bug fixes\n• Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc\n• Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient\n• Keep the organization apprised of new developments in applied & theoretical ML\n• Prototype new features for visualization and analysis in state-of-the-art deep learning research\n\nWhat we're looking for\n\n• 3+ years of experience in a professional working environment in an ML Engineer or adjacent role\n• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch\n• Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful\n• Excellent communication and presentation skills, both written and verbal\n• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment\n• Ability to break down complex problems and resolve them through customer consultation and execution.\n• Experience with cloud platforms (AWS, GCP, Azure)\n• Experience with Linux/Unix\n• Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment\n• Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)\n• Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions\n• Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications\n• Writing easy-to-follow code and effective documentation for your projects\n• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge\n• Strong writing and data visualization skills\n\nStrong Plus\n\n• Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter, \n• Experience with hyperparameter optimization solutions\n• Experience with data engineering, MLOps, and tools such as Docker and Kubernetes\n• Experience with data pipeline tools\n• Experience as an ML educator and/or building and executing customer training sessions, product demos,\n and/or workshops at a SaaS company\n• You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine • learning more accessible, transparent, and collaborative\n• Experience contributing to architecture and systems design\n• Teaching experience\n\nWhy join us? \n\n• Top-tier machine learning teams rely on our tools for their daily work\n• This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.\n• Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.\n• A best-in-class product in one of the fastest-growing and largest market segments\n\nBenefits\n\n• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n• 401(k) Plan with employer matching\n• Commuter benefits with a contribution from the company \n• Responsible Time Off Policy \n• Generous and flexible parental leave\n• Fitness & wellness benefit\n• Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Machine Learning, Senior, Marketing, Sales, Engineer, Front End, Teaching, Python and SaaS jobs that are similar:\n\n $70,000 — $120,000/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\nNew York City