\nAbout the Role: \n\nWe are looking for a Site Reliability Engineer to work on our core Infrastructure and Security team, to assist us with designing, building, running, improving and scaling the infrastructure that engineering and data teams use to power their services. Your duties will include the development, testing, and maintenance of our serving and data platforms, using a combination of cloud products, open source tools and internal applications. Your duties will blend software development and operations in order to continuously automate our environments. You should be able to build high-quality, scalable solutions for a variety of problems.\n\nOur Company:\n\nSezzle is a cutting-edge fintech company whose long-standing mission is to financially empower the next generation. Sezzle has built a payment platform that increases purchasing power for consumers by offering interest-free installment plans. This increase in purchasing power for consumers leads to increased sales and basket sizes for the numerous eCommerce merchants that currently work with Sezzle. \n\nWhat Makes Working at Sezzle Awesome? \n\nAt Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. \n\nResponsibilities: \n\n\n\n* Design, build and maintain scalable infrastructure for running our systems, based on Kubernetes, Redshift and additional AWS services and products.\n\n* Help the product teams quickly build out MVP products to test new solutions on the market.\n\n* Maintain and develop monitoring and alerting solutions to improve the on-call experience.\n\n* Assist product developers in debugging and triaging production issues.\n\n* Be the first line of defense for our operational environments, triaging and resolving problems as they occur. You will be on an on-call rotation.\n\n* Design and scale platform and data architectures to sustain rapid user growth.\n\n* Level up the teams through pairing, code review, and mentoring.\n\n* Bring and share with our team extensive experience with industry best practices in software development.\n\n\n\n\nMinimum Requirements: \n\n\n* Bachelor's in computer science (preferred) or equivalent related experience \n\n* At least 5+ years of overall software, data, deployments and platform infrastructure experience.\n\n\n\n\nIdeal Skills & Experience: \n\n\n* Experience with building and/or serving REST APIs using Go or a similar language.\n\n* Experience with Relational Databases, SQL and ORM technologies.\n\n* Strong overall Linux knowledge.\n\n* DevOps experience with CI/CD pipelines, Docker and Kubernetes, and cloud computing platforms like AWS.\n\n* Experience with deployment/provisioning tools like Terraform, Helm, Ansible.\n\n* Experience with implementing and maintaining observability and monitoring tools - Prometheus, Datadog, NewRelic, Grafana, Loki or similar.\n\n* Experience in ETL/ELT pipelines using Python and Open-source tools such as DBT.\n\n* Proficiency in building and maintaining large-scale data warehousing technologies such as Redshift.\n\n\n\n\nAbout You: \n\n\n* A+ character. We are team-first here at Sezzle. \n\n* A hard-working mentality. It’s early and there is still a lot to build. \n\n* An excellent communicator. \n\n* A fun attitude. Life’s too short. We can have fun while we work hard on cool things. \n\n* Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others. \n\n\n\n\nSezzle’s Technology Stack:\n\n\n* Languages: Golang, Typescript, Python\n\n* Frontend: Typescript - React and React Native\n\n* Backend: Golang\n\n* Database: MySQL, Postgres, Elasticsearch\n\n* DevOps & Cloud: AWS, Kubernetes\n\n* Version Control: Git\n\n* CI/CD: Gitlab\n\n* Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests\n\n* Sezzle is focused on using open source, and we build what we can before buying!\n\n\n\n\nCompensation\n\nThe compensation range for the role is as follows:\n\n4,600 - 9,000 USD Monthly\n\nEqual Employment Opportunity: Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission.\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 React, Python, Docker, Cloud, Senior, Sales, Engineer and Ecommerce jobs that are similar:\n\n $57,500 — $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\nSantiago, Santiago Metropolitan Region, Chile

\nAbout the Role: \n\nWe are looking for a Site Reliability Engineer to work on our core Infrastructure and Security team, to assist us with designing, building, running, improving and scaling the infrastructure that engineering and data teams use to power their services. Your duties will include the development, testing, and maintenance of our serving and data platforms, using a combination of cloud products, open source tools and internal applications. Your duties will blend software development and operations in order to continuously automate our environments. You should be able to build high-quality, scalable solutions for a variety of problems.\n\nOur Company:\n\nSezzle is a cutting-edge fintech company whose long-standing mission is to financially empower the next generation. Sezzle has built a payment platform that increases purchasing power for consumers by offering interest-free installment plans. This increase in purchasing power for consumers leads to increased sales and basket sizes for the numerous eCommerce merchants that currently work with Sezzle. \n\nWhat Makes Working at Sezzle Awesome? \n\nAt Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. \n\nResponsibilities: \n\n\n\n* Design, build and maintain scalable infrastructure for running our systems, based on Kubernetes, Redshift and additional AWS services and products.\n\n* Help the product teams quickly build out MVP products to test new solutions on the market.\n\n* Maintain and develop monitoring and alerting solutions to improve the on-call experience.\n\n* Assist product developers in debugging and triaging production issues.\n\n* Be the first line of defense for our operational environments, triaging and resolving problems as they occur. You will be on an on-call rotation.\n\n* Design and scale platform and data architectures to sustain rapid user growth.\n\n* Level up the teams through pairing, code review, and mentoring.\n\n* Bring and share with our team extensive experience with industry best practices in software development.\n\n\n\n\nMinimum Requirements: \n\n\n* Bachelor's in computer science (preferred) or equivalent related experience \n\n* At least 5+ years of overall software, data, deployments and platform infrastructure experience.\n\n\n\n\nIdeal Skills & Experience: \n\n\n* Experience with building and/or serving REST APIs using Go or a similar language.\n\n* Experience with Relational Databases, SQL and ORM technologies.\n\n* Strong overall Linux knowledge.\n\n* DevOps experience with CI/CD pipelines, Docker and Kubernetes, and cloud computing platforms like AWS.\n\n* Experience with deployment/provisioning tools like Terraform, Helm, Ansible.\n\n* Experience with implementing and maintaining observability and monitoring tools - Prometheus, Datadog, NewRelic, Grafana, Loki or similar.\n\n* Experience in ETL/ELT pipelines using Python and Open-source tools such as DBT.\n\n* Proficiency in building and maintaining large-scale data warehousing technologies such as Redshift.\n\n\n\n\nAbout You: \n\n\n* A+ character. We are team-first here at Sezzle. \n\n* A hard-working mentality. It’s early and there is still a lot to build. \n\n* An excellent communicator. \n\n* A fun attitude. Life’s too short. We can have fun while we work hard on cool things. \n\n* Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others. \n\n\n\n\nCompensation\n\nThe compensation range for the role is as follows:\n\n4,600 - 9,000 USD Monthly\n\nEqual Employment Opportunity: Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission.\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 Python, Docker, Cloud, Senior, Sales and Engineer jobs that are similar:\n\n $55,000 — $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\nBogotá, Bogotá, Colombia

\nThis is a remote role for candidates based in Latin America.\n\nAbout the Role: \n\nWe are looking for a Site Reliability Engineer to work on our core Infrastructure and Security team, to assist us with designing, building, running, improving and scaling the infrastructure that engineering and data teams use to power their services. Your duties will include the development, testing, and maintenance of our serving and data platforms, using a combination of cloud products, open source tools and internal applications. Your duties will blend software development and operations in order to continuously automate our environments. You should be able to build high-quality, scalable solutions for a variety of problems.\n\nOur Company:\n\nSezzle is a cutting-edge fintech company whose long-standing mission is to financially empower the next generation. Sezzle has built a payment platform that increases purchasing power for consumers by offering interest-free installment plans. This increase in purchasing power for consumers leads to increased sales and basket sizes for the numerous eCommerce merchants that currently work with Sezzle. \n\nWhat Makes Working at Sezzle Awesome? \n\nAt Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. \n\nResponsibilities: \n\n\n\n* Design, build and maintain scalable infrastructure for running our systems, based on Kubernetes, Redshift and additional AWS services and products.\n\n* Help the product teams quickly build out MVP products to test new solutions on the market.\n\n* Maintain and develop monitoring and alerting solutions to improve the on-call experience.\n\n* Assist product developers in debugging and triaging production issues.\n\n* Be the first line of defense for our operational environments, triaging and resolving problems as they occur. You will be on an on-call rotation.\n\n* Design and scale platform and data architectures to sustain rapid user growth.\n\n* Level up the teams through pairing, code review, and mentoring.\n\n* Bring and share with our team extensive experience with industry best practices in software development.\n\n\n\n\nMinimum Requirements: \n\n\n* Bachelor's in computer science (preferred) or equivalent related experience \n\n* At least 5+ years of overall software, data, deployments and platform infrastructure experience.\n\n\n\n\nIdeal Skills & Experience: \n\n\n* Experience with building and/or serving REST APIs using Go or a similar language.\n\n* Experience with Relational Databases, SQL and ORM technologies.\n\n* Strong overall Linux knowledge.\n\n* DevOps experience with CI/CD pipelines, Docker and Kubernetes, and cloud computing platforms like AWS.\n\n* Experience with deployment/provisioning tools like Terraform, Helm, Ansible.\n\n* Experience with implementing and maintaining observability and monitoring tools - Prometheus, Datadog, NewRelic, Grafana, Loki or similar.\n\n* Experience in ETL/ELT pipelines using Python and Open-source tools such as DBT.\n\n* Proficiency in building and maintaining large-scale data warehousing technologies such as Redshift.\n\n\n\n\nAbout You: \n\n\n* A+ character. We are team-first here at Sezzle. \n\n* A hard-working mentality. It’s early and there is still a lot to build. \n\n* An excellent communicator. \n\n* A fun attitude. Life’s too short. We can have fun while we work hard on cool things. \n\n* Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others. \n\n\n\n\nCompensation\n\nThe compensation range for the role is as follows:\n\n4,600 - 9,000 USD Monthly\n\nEqual Employment Opportunity: Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission.\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 Python, Docker, Cloud, Senior, Sales and Engineer jobs that are similar:\n\n $57,500 — $112,500/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\nBogotá, Bogotá, Colombia

About Paperspace\n\nPaperspace builds tools and infrastructure to make accelerated computing simple and accessible.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nThe Role \n\nWe are looking for a Growth ML Engineer to cultivate a global, diverse community of developers and machine learning engineers. You’ll work at the intersection of marketing, sales, and customer support to showcase the value of the Gradient platform to aspiring and veteran ML developers. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. \n\nIn this role, you'll be working directly with customers on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. 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\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• Deliver high-level, detailed technical presentations and demos tailored to customers’ requirements alongside the Head of Sales and/or Sales Development Representative\n• Provide product support and assist prospects, customers, and partners with their technical issues\n• Architect and prototype solutions for customers\n• As a technical first responder to prospective and enterprise customers, assist in the diagnosis of technical issues/bugs and work with our Support and Engineering teams to resolve more advanced issues when necessary\n• Effectively communicate client needs to the engineering team for future product enhancements\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\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• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge \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, 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\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\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 Marketing, Engineer, Social Media, Executive, Cloud, Python, Sales and SaaS jobs that are similar:\n\n $70,000 — $115,000/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\nUnited States

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