Full-Stack Engineer L5, ML Insights & Visualizations, Machine Learning Platform

Netflix is one of the world's leading entertainment services with over 300 million paid memberships in over 190 countries enjoying TV series films and games across a wide variety of genres and languages. Members can play pause and resume watching as much as they want anytime anywhere and can change their plans at any time.

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.

Netflix Culture

Netflix’s culture is built on values of high performance candor context over control and inclusion. We celebrate diversity and are committed to building teams with a wide range of backgrounds perspectives and skills.

We offer a flexible market-driven compensation structure–choose your mix of salary and stock options with a typical range for this role of 100K-558K. Learn more about our benefits and unique culture .

Ready to shape the future of ML/AI at Netflix? Apply now and help us deliver world-class ML experiences to millions of members worldwide.

Inclusion is 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 diversitybuilds 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.