ML Software Engineer Jobs at Netflix with Visa Sponsorship
ML Software Engineer jobs at Netflix sit at the intersection of personalization, content delivery, and production systems, where the company builds its ML infrastructure at scale. Netflix has an established track record of sponsoring international engineers across multiple visa categories, making it a realistic target for skilled ML candidates who need work authorization.
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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.
We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI models into our production pipelines and game engines. You won’t just be prompted with ideas; you’ll be building the infrastructure and logic that brings those ideas to players.
Key Responsibilities
- Implementation & Integration: Lead the technical integration of GenAI tools and techniques into existing game engines (Unity/Unreal/Proprietary) and development workflows.
- Feature Prototyping: Work directly with designers to build functional, AI-native gameplay mechanics—such as dynamic narrative systems, procedural asset generation, or intelligent NPC behaviors.
- Optimization & Inference: Own the performance side of GenAI. You will optimize model latency and memory footprints to ensure AI features don't compromise game frame rates.
- Pipeline Automation: Develop and maintain "AI superpower" tools for internal teams, such as automated texture generation, level design assistants, or code-completion agents.
- Technical Mentorship: Provide guidance to mid-level and junior engineers on ML best practices, data privacy, and the ethical implementation of AI in creative spaces.
- Bridge Research & Production: Translate complex AI research papers and open-source models into stable, production-ready code that aligns with our player experience goals.
Qualifications
- Game Development Background: 5+ years of experience in the games industry. You have a solid grasp of game loops, memory management, and what it takes to get a feature through a "Live Ops" cycle.
- Practical GenAI/ML Experience: 3+ years of hands-on experience with Machine Learning/GenAI tools/techniques in a product-driven environment.
- Software Engineering Excellence: Strong proficiency in languages like C++ and C#, with the ability to write clean, maintainable code within a large, complex codebase.
- Infrastructure Familiarity: Experience with model fine-tuning, and managing the end-to-end ML lifecycle (data prep to deployment).
- Problem Solver: You thrive in the "grey area" of emerging tech and can pivot quickly when a specific model or approach doesn't meet the needs of the game design.
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 $466,000.00 - $750,000.00. 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.
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 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.
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Get Access To All JobsTips for Finding ML Software Engineer Jobs at Netflix
Tailor your portfolio to Netflix's ML stack
Netflix open-sources tools like Metaflow and Feast. Demonstrating hands-on experience with ML workflow orchestration, recommendation systems, or real-time inference pipelines signals direct relevance before your resume reaches a recruiter.
Clarify your visa category early in screening
Netflix sponsors multiple visa types, so tell your recruiter your current status and work authorization timeline upfront. This prevents surprises at the offer stage and helps the hiring team route your file correctly through their immigration team.
Align your degree field to the specialty occupation standard
H-1B approval for ML Software Engineer roles requires a qualifying degree in computer science, statistics, or a related technical field. If your degree is in a different discipline, gather supplementary transcripts or coursework documentation before the petition is filed with USCIS.
Target Netflix roles that align with your OPT timeline
F-1 OPT gives you 12 months of work authorization, with a 24-month STEM extension available for qualifying degrees. Netflix hires ML engineers on CPT and OPT, so time your applications to leave enough runway before your authorization expires.
Use Migrate Mate to find active ML roles at Netflix
Netflix's ML engineering openings are distributed across several teams and aren't always labeled consistently. Search Migrate Mate's job board to filter verified sponsorship-eligible ML Software Engineer positions at Netflix and track new postings as they go live.
Prepare for a multi-round technical process before an offer
Netflix's interview loop for ML engineers typically includes a systems design round alongside coding and ML theory. Receiving an offer before USCIS processing deadlines matters, so front-load your preparation to move through rounds quickly once you're in the pipeline.
Frequently Asked Questions
Does Netflix sponsor H-1B visas for ML Software Engineers?
Yes, Netflix sponsors H-1B visas for ML Software Engineers. The H-1B requires your role to qualify as a specialty occupation, which ML engineering roles at Netflix typically satisfy given the degree requirements in computer science or a related technical field. Your employer files the petition with USCIS, and the H-1B cap lottery applies unless you're already in H-1B status through a previous employer.
How do I apply for ML Software Engineer jobs at Netflix?
Applications go through Netflix's careers portal, but roles are spread across multiple ML-focused teams including personalization, content science, and platform infrastructure. Filtering by function and reading job descriptions carefully helps you match the right team. You can also browse verified sponsorship-eligible openings at Netflix on Migrate Mate, which surfaces active roles filtered by visa type so you're not applying blind.
Which visa types does Netflix commonly use for ML Software Engineers?
Netflix sponsors H-1B, E-3 visa, TN, and F-1 OPT and CPT for ML Software Engineer roles, along with immigrant pathways including EB-2 and EB-3 for longer-term employees. Australian citizens can use the E-3 visa, which has no lottery and a much faster timeline than the H-1B. Canadian and Mexican nationals in qualifying ML roles may be eligible for the TN visa at the port of entry.
What qualifications does Netflix expect for ML Software Engineer roles?
Netflix ML engineering roles typically require a bachelor's or master's degree in computer science, machine learning, or a closely related quantitative field, along with production-level experience in Python and familiarity with large-scale data systems. Many postings specify experience with model training pipelines, A/B testing infrastructure, or distributed systems. Research-oriented roles may also look for publication history or deep expertise in recommendation systems or NLP.
How do I plan my timeline if Netflix is sponsoring my H-1B for the first time?
The H-1B cap lottery registration opens in March each year, with a start date of October 1 if selected. If you're on F-1 OPT, your authorization needs to cover the gap between your hire date and your H-1B start date. USCIS offers premium processing for a faster decision, which Netflix's immigration team may use depending on your start date. Confirm your status expiration date before accepting an offer so there's no gap in your work authorization.