[Remote] Full-Stack Engineer 5 – AI Insights & Visualizations, AI Platform

Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company focused on pushing the boundaries of storytelling and technology. They are seeking talented Full-Stack Engineers to develop end-to-end solutions for AI/ML practitioners, enhancing tools for visualization, monitoring, and operating AI/ML models and pipelines.

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

Skills

• 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
• 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

• 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
• Life and Serious Injury Benefits
• 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

Company Overview

Company H1B Sponsorship