Engineer L5 - ML Insights & Visualizations, Machine Learning Platform
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to enhancing our understanding of our audience and content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.
The Opportunity
The ML Insights & Visualizations team builds powerful tools and platforms that enable hundreds of AI/ML practitioners across Netflix to develop, deploy, and monitor business-critical models. Our mission is to deliver seamless, intuitive, and insightful experiences that boost productivity and innovation for teams working on personalization, growth, commerce, ads, content, and studio AI/ML algorithms.
We are seeking talented Full-Stack Engineers to join us in developing end-to-end solutions that span UI, backend, and data layers. You’ll work closely with product managers, ML engineers, data scientists, and other cross-functional partners to create robust observability and visualization workflows for cutting-edge AI/ML models, including bandits, multi-task learning models, Large Language Models (LLMs), and other foundation models.
What You’ll Do
Design & Build End-to-End Solutions: Develop and maintain web-based internal tools and platforms that help AI/ML practitioners visualize, monitor, and operate AI/ML models and pipelines.
Enhance Observability: Build and improve dashboards for model observability, anomaly and drift detection, cost monitoring, and system health.
Improve User Experience: Collaborate with users and stakeholders to gather feedback and deliver intuitive, seamless, and impactful user experiences.
Drive Product Excellence: Continuously improve our systems, codebase, and team processes to enhance overall performance. Introduce and champion best practices in full-stack development.
Cross-Functional Collaboration: Partner with engineering, product, and research teams distributed across multiple US-based time zones to deliver impactful solutions and drive ML/AI innovation at Netflix.
Must-Have Skills
Full-Stack Development: Proficiency in modern UI frameworks (React preferred), JavaScript/TypeScript, Node.js, and building scalable backend systems (Java, Scala, or similar; Spring Boot or equivalent frameworks).
Cloud Experience: Hands-on experience with public cloud platforms (AWS, Azure, or GCP).
Data & Observability: Familiarity with ML model lifecycle management, logging, metrics, analytics, and building tools for data visualization and observability.
Legacy & Modernization: Experience in maintaining and improving legacy systems, with the ability to evaluate tradeoffs between refactoring, rebuilding, and buying solutions.
Strong Communication: Excellent written and verbal communication skills, with a proactive approach to cross-functional collaboration.
Education: BS/MS in Computer Science, Applied Math, Engineering, or a related field, or equivalent practical exp.
Nice-to Have
Experience building UI tools for ML practitioners or data scientists.
Deep understanding of ML model development, deployment, and monitoring workflows.
Track record of shipping and refining products based on user feedback.
Passion for data-driven product development and improving engineering productivity.
About You
You’re passionate about empowering others and building tools that create leverage for ML/AI practitioners.
You thrive in ambiguous environments and can deliver results while investing in long-term solutions.
You’re collaborative, value diverse perspectives, and contribute to a culture of inclusion and excellence.
You’re curious, eager to learn new technologies and domains, and enjoy mentoring others.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
About the job
Apply for this position
Engineer L5 - ML Insights & Visualizations, Machine Learning Platform
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to enhancing our understanding of our audience and content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.
The Opportunity
The ML Insights & Visualizations team builds powerful tools and platforms that enable hundreds of AI/ML practitioners across Netflix to develop, deploy, and monitor business-critical models. Our mission is to deliver seamless, intuitive, and insightful experiences that boost productivity and innovation for teams working on personalization, growth, commerce, ads, content, and studio AI/ML algorithms.
We are seeking talented Full-Stack Engineers to join us in developing end-to-end solutions that span UI, backend, and data layers. You’ll work closely with product managers, ML engineers, data scientists, and other cross-functional partners to create robust observability and visualization workflows for cutting-edge AI/ML models, including bandits, multi-task learning models, Large Language Models (LLMs), and other foundation models.
What You’ll Do
Design & Build End-to-End Solutions: Develop and maintain web-based internal tools and platforms that help AI/ML practitioners visualize, monitor, and operate AI/ML models and pipelines.
Enhance Observability: Build and improve dashboards for model observability, anomaly and drift detection, cost monitoring, and system health.
Improve User Experience: Collaborate with users and stakeholders to gather feedback and deliver intuitive, seamless, and impactful user experiences.
Drive Product Excellence: Continuously improve our systems, codebase, and team processes to enhance overall performance. Introduce and champion best practices in full-stack development.
Cross-Functional Collaboration: Partner with engineering, product, and research teams distributed across multiple US-based time zones to deliver impactful solutions and drive ML/AI innovation at Netflix.
Must-Have Skills
Full-Stack Development: Proficiency in modern UI frameworks (React preferred), JavaScript/TypeScript, Node.js, and building scalable backend systems (Java, Scala, or similar; Spring Boot or equivalent frameworks).
Cloud Experience: Hands-on experience with public cloud platforms (AWS, Azure, or GCP).
Data & Observability: Familiarity with ML model lifecycle management, logging, metrics, analytics, and building tools for data visualization and observability.
Legacy & Modernization: Experience in maintaining and improving legacy systems, with the ability to evaluate tradeoffs between refactoring, rebuilding, and buying solutions.
Strong Communication: Excellent written and verbal communication skills, with a proactive approach to cross-functional collaboration.
Education: BS/MS in Computer Science, Applied Math, Engineering, or a related field, or equivalent practical exp.
Nice-to Have
Experience building UI tools for ML practitioners or data scientists.
Deep understanding of ML model development, deployment, and monitoring workflows.
Track record of shipping and refining products based on user feedback.
Passion for data-driven product development and improving engineering productivity.
About You
You’re passionate about empowering others and building tools that create leverage for ML/AI practitioners.
You thrive in ambiguous environments and can deliver results while investing in long-term solutions.
You’re collaborative, value diverse perspectives, and contribute to a culture of inclusion and excellence.
You’re curious, eager to learn new technologies and domains, and enjoy mentoring others.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $388,000.00 - $558,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.