Netflix · 16 hours ago
Full-Stack Engineer L5, ML Insights & Visualizations, Machine Learning Platform
United States
Full-time
Remote
Senior Level
$100K/yr - $558K/yr
5+ years expNetflix is one of the world's leading entertainment services, and they are seeking talented Full-Stack Engineers to join their ML Insights & Visualizations team. The role involves developing end-to-end solutions for AI/ML practitioners, enhancing observability, and improving user experiences for tools that support business-critical models.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
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
Qualification
Required
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)
Hands-on experience with public cloud platforms (AWS, Azure, or GCP)
Familiarity with ML model lifecycle management, logging, metrics, analytics, and building tools for data visualization and observability
Experience in maintaining and improving legacy systems, with the ability to evaluate tradeoffs between refactoring, rebuilding, and buying solutions
Excellent written and verbal communication skills, with a proactive approach to cross-functional collaboration
BS/MS in Computer Science, Applied Math, Engineering, or a related field, or equivalent practical experience
Preferred
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
Benefits
Flexible, market-driven compensation structure
Stock options
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
10001+ employees
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Leadership Team
Gregory Peters
Co-CEO
Ted Sarandos
Co-CEO
Recent News
2026-01-09
Company data provided by crunchbase