Machine Learning Jobs at Netflix with Visa Sponsorship
Netflix hires Machine Learning engineers and researchers to build recommendation systems, content personalization, and streaming optimization at scale. The company has a consistent track record of sponsoring work visas across multiple categories for ML roles, making it a realistic target if you're on a sponsored visa pathway.
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Get Access To All JobsAt 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.
Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative at Netflix Games is dedicated to pioneering the next generation of interactive entertainment. We have the ambition to transform how players interact with stories, characters, and worlds by empowering gameplay experience with AI. We work at the intersection of creative game design and cutting-edge machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players.
We are seeking an experienced L5 ML Scientist specialized in forecasting and audience research.
In this role, you will:
- Build Foundational ML Building Blocks: Develop sophisticated embeddings and models that incorporate deep game-specific signals to solve high-impact business problems, including audience insights, opportunity sizing, and forecasting.
- Accelerate Product Development: Build the tools, models, and pipelines required to accelerate DSE workflows across games portfolio, studios, product, and platform.
- Bridge the Netflix Ecosystem: Act as a key liaison with the broader Netflix DSE and AI teams to adopt, adapt, and tailor global Netflix capabilities for the unique requirements of the gaming space.
- Design Scalable Pipelines: Create end-to-end ML pipelines that accelerate and enable DSE members across games to uncover actionable insights and build data-intensive game features.
- Elevate ML Practices: Establish the technical standards for how ML capabilities are applied across game domains.
Who Will Succeed in This Role:
- Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of experience leading complex, end-to-end ML projects that impact end-customer experiences.
- 3+ years of experience navigating large-scale technical organizations to align roadmap priorities and share infrastructure.
- You can digest the latest research paper in the morning and ship a functional prototype or foundational model by the afternoon.
- You can bridge the gap between technical ML architecture and business objectives, translating product needs into rigorous technical specifications.
- You thrive in zero-to-one environments, enjoying the freedom to choose your stack and define the engineering standards for a new domain.
- You have a foundational understanding of causal inference principles, allowing you to discern when a predictive model is sufficient vs. when a causal approach is required.
- You have a passion for developing reusable ML capabilities to unlock and accelerate development work broadly.
Nice to Have:
- Experience working with game development teams, particularly in game design and engineering.
- Experience with building production-grade ML systems, including MLOps best practices.
- Have strong engineering skills, particularly in designing and optimizing evaluation frameworks (e.g., Python, PyTorch, LangChain).
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 . 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.
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.
Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative at Netflix Games is dedicated to pioneering the next generation of interactive entertainment. We have the ambition to transform how players interact with stories, characters, and worlds by empowering gameplay experience with AI. We work at the intersection of creative game design and cutting-edge machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players.
We are seeking an experienced L5 ML Scientist specialized in forecasting and audience research.
In this role, you will:
- Build Foundational ML Building Blocks: Develop sophisticated embeddings and models that incorporate deep game-specific signals to solve high-impact business problems, including audience insights, opportunity sizing, and forecasting.
- Accelerate Product Development: Build the tools, models, and pipelines required to accelerate DSE workflows across games portfolio, studios, product, and platform.
- Bridge the Netflix Ecosystem: Act as a key liaison with the broader Netflix DSE and AI teams to adopt, adapt, and tailor global Netflix capabilities for the unique requirements of the gaming space.
- Design Scalable Pipelines: Create end-to-end ML pipelines that accelerate and enable DSE members across games to uncover actionable insights and build data-intensive game features.
- Elevate ML Practices: Establish the technical standards for how ML capabilities are applied across game domains.
Who Will Succeed in This Role:
- Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of experience leading complex, end-to-end ML projects that impact end-customer experiences.
- 3+ years of experience navigating large-scale technical organizations to align roadmap priorities and share infrastructure.
- You can digest the latest research paper in the morning and ship a functional prototype or foundational model by the afternoon.
- You can bridge the gap between technical ML architecture and business objectives, translating product needs into rigorous technical specifications.
- You thrive in zero-to-one environments, enjoying the freedom to choose your stack and define the engineering standards for a new domain.
- You have a foundational understanding of causal inference principles, allowing you to discern when a predictive model is sufficient vs. when a causal approach is required.
- You have a passion for developing reusable ML capabilities to unlock and accelerate development work broadly.
Nice to Have:
- Experience working with game development teams, particularly in game design and engineering.
- Experience with building production-grade ML systems, including MLOps best practices.
- Have strong engineering skills, particularly in designing and optimizing evaluation frameworks (e.g., Python, PyTorch, LangChain).
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 . 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 Machine Learning Jobs at Netflix Jobs
Frame your ML work around measurable impact
Netflix evaluates ML candidates on production systems experience, not research credentials alone. Document specific model improvements, latency reductions, or revenue-linked outcomes from past roles. Concrete metrics carry more weight than publication lists in their hiring process.
Target roles aligned with Netflix's ML infrastructure
Netflix's ML hiring centers on recommendation systems, content demand forecasting, and A/B testing infrastructure. Applying to roles that map directly to these known priorities increases your chances of passing initial screens and signals genuine familiarity with their technical domain.
Confirm your visa category before the offer stage
Netflix sponsors H-1B, E-3, TN, and F-1 OPT among others. If you're on OPT, confirm your STEM extension eligibility early. The 60-day employer reporting window after a job change is tight, so knowing your category before negotiations prevents avoidable gaps.
Prepare a specialty occupation case for your role
USCIS requires H-1B petitions to demonstrate the position is a specialty occupation requiring a specific degree field. For ML roles, link your computer science, statistics, or engineering degree directly to the technical requirements in the job description before your employer files.
Use Migrate Mate to filter Netflix ML openings by visa type
Netflix posts ML roles across seniority levels, but not all openings are sponsorship-eligible. Use Migrate Mate to filter active Netflix Machine Learning listings by the visa types you hold, so you're applying to roles where sponsorship is already confirmed.
Engage Netflix recruiters before the H-1B lottery window
If you need cap-subject H-1B sponsorship, timing matters. USCIS opens H-1B registration in March each year. Starting your Netflix application process in Q4 of the prior year gives your recruiter enough runway to complete approvals and register you before the deadline.
Machine Learning at Netflix jobs are hiring across the US. Find yours.
Find Machine Learning at Netflix JobsFrequently Asked Questions
Does Netflix sponsor H-1B visas for Machine Learning roles?
Yes, Netflix sponsors H-1B visas for Machine Learning positions. The company has an established pattern of filing H-1B petitions for technical roles including ML engineers and researchers. If you're in the H-1B lottery pool or transferring from another employer, Netflix's technical recruiting team is equipped to manage the USCIS filing process through their immigration counsel.
Which visa types does Netflix commonly sponsor for Machine Learning positions?
Netflix sponsors a range of visa categories for ML roles, including H-1B, E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1, and employment-based Green Card pathways such as EB-2 and EB-3. The right category depends on your nationality, degree, and current immigration status, so clarify this with your recruiter early in the process.
What qualifications does Netflix expect for Machine Learning roles?
Netflix ML roles typically require a bachelor's degree or higher in computer science, statistics, applied mathematics, or a closely related field. Beyond credentials, the company prioritizes hands-on experience building and deploying production ML systems. Familiarity with large-scale recommendation systems, experimentation platforms, or streaming data pipelines is particularly relevant given Netflix's core technical focus areas.
How do I apply for Machine Learning jobs at Netflix?
You can apply through Netflix's careers site directly, or browse current openings filtered by visa type on Migrate Mate to confirm sponsorship eligibility before applying. Netflix's ML interview process typically includes a technical phone screen, take-home or live coding assessments, and system design interviews focused on ML infrastructure. Tailoring your application to their specific ML domains, such as personalization or content ranking, strengthens your submission.
How do I plan my timeline if I need Netflix to sponsor my visa?
Timeline depends heavily on visa category. F-1 OPT authorization from USCIS can take up to 90 days, so apply early. H-1B cap-subject petitions are tied to the March registration window, with employment starting October 1 at the earliest. E-3 and TN visas can be processed faster, sometimes at the consulate or port of entry. Align your offer and start date expectations with your specific visa pathway from the outset.
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