ML Engineer Jobs at Netflix with Visa Sponsorship
ML Engineer jobs at Netflix are built around researchers and engineers who move fluidly between recommendation systems, content personalization, and large-scale experimentation. The company sponsors a range of work visas for ML Engineers and has an established process for supporting international candidates through the offer and filing stages.
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Get Access To All JobsINTRODUCTION
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 launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.
OUR TEAM
The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.
Our team is growing to meet ambitious goals: building highly performant advertising systems to effectively monetize our incredible slate of content and deliver real impact for the business. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.
The Ads Signals & Targeting team is revolutionizing ad experiences by utilizing advanced machine learning models for identity resolution and optimal behavioral and contextual audience targeting. We create foundational systems that deliver relevant and engaging ads to Netflix members, all while upholding their privacy. Our continuous refinement of models generates a flywheel effect, enhancing member experiences and driving optimal advertiser outcomes at scale.
We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.
SKILLS & EXPERIENCE WE’RE SEEKING:
- Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.
- Experience building machine learning models for ads targeting and lookalike expansion.
- Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.
- Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management.
- Experience in handling data at extremely large volumes with big data tools like Spark.
- Collaborate with cross-functional stakeholders from the science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale.
NICE TO HAVES:
- Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.
- Experience with ads targeting using machine learning models.
- Experience working in the CTV space and knowledge of its unique constraints.
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.
INTRODUCTION
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 launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.
OUR TEAM
The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.
Our team is growing to meet ambitious goals: building highly performant advertising systems to effectively monetize our incredible slate of content and deliver real impact for the business. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.
The Ads Signals & Targeting team is revolutionizing ad experiences by utilizing advanced machine learning models for identity resolution and optimal behavioral and contextual audience targeting. We create foundational systems that deliver relevant and engaging ads to Netflix members, all while upholding their privacy. Our continuous refinement of models generates a flywheel effect, enhancing member experiences and driving optimal advertiser outcomes at scale.
We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.
SKILLS & EXPERIENCE WE’RE SEEKING:
- Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.
- Experience building machine learning models for ads targeting and lookalike expansion.
- Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.
- Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management.
- Experience in handling data at extremely large volumes with big data tools like Spark.
- Collaborate with cross-functional stakeholders from the science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale.
NICE TO HAVES:
- Strong understanding of data privacy, governance, and security concepts, including Privacy by Design principles.
- Experience with ads targeting using machine learning models.
- Experience working in the CTV space and knowledge of its unique constraints.
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.
See all ML Engineer Jobs at Netflix
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs at Netflix.
Get Access To All JobsTips for Finding ML Engineer Jobs at Netflix
Align your portfolio to Netflix's ML stack
Netflix's ML work centers on recommendation systems, A/B experimentation platforms, and real-time inference at scale. Tailor your GitHub projects and system design examples to these areas before applying, not after you get the call.
Target roles that match your visa category
Netflix sponsors H-1B, E-3, TN, and F-1 OPT across ML functions, but not every role listing explicitly states this. Check whether the position is research-oriented or production-focused, since specialty occupation classification matters for H-1B petitions USCIS reviews.
Start OPT paperwork well before an offer lands
If you're on F-1, your designated school official needs lead time to issue a new I-20 for OPT. File your USCIS Form I-765 at least 90 days before your program end date so authorization is in hand when Netflix moves to onboarding.
Clarify sponsorship scope during the offer stage
Netflix has in-house immigration counsel, but you should confirm whether they cover green card sponsorship under EB-2 or EB-3 in addition to H-1B. Some engineering teams move faster on PERM than others, and understanding this affects your long-term planning.
Use Migrate Mate to surface Netflix ML openings that fit your visa
Netflix posts ML Engineer roles across multiple teams with different sponsorship postures. Search Migrate Mate to filter open positions by visa type so you're applying to roles where your specific status is already supported.
Prepare a technical narrative that bridges your degree and the role
USCIS scrutinizes whether an ML Engineer position constitutes a specialty occupation. Your degree field and the specific technical requirements of the Netflix role need to map clearly, so document that connection before your employer files Form I-129.
Frequently Asked Questions
Does Netflix sponsor H-1B visas for ML Engineers?
Yes, Netflix sponsors H-1B visas for ML Engineers. The company has established immigration support through in-house legal resources and sponsors across multiple visa categories for this function. Because H-1B requires demonstrating specialty occupation status, your application materials should clearly connect your degree field to the specific technical requirements of the role you're being hired into.
Which visa types does Netflix commonly sponsor for ML Engineer roles?
Netflix sponsors H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa, and immigrant visa pathways including EB-2 and EB-3. ML Engineer roles typically qualify under specialty occupation requirements across these categories, but the right visa depends on your nationality, educational background, and career stage.
What qualifications and experience does Netflix expect from ML Engineer candidates?
Netflix typically looks for a graduate degree in machine learning, statistics, computer science, or a related quantitative field, combined with hands-on experience building production ML systems. Familiarity with large-scale recommendation or ranking systems, experimentation frameworks, and real-time inference pipelines is particularly relevant given how Netflix's ML platform is structured across its product and content teams.
How do I apply for ML Engineer jobs at Netflix?
Browse open ML Engineer roles on Migrate Mate to filter by visa sponsorship type and find positions that fit your work authorization. Once you identify a role, apply through Netflix's careers portal with a resume that highlights production ML experience and any systems-level work relevant to recommendation, personalization, or experimentation at scale. Netflix's process typically includes a recruiter screen, technical interviews, and a systems design round.
How do I plan the H-1B filing timeline if I receive an offer from Netflix?
The H-1B cap lottery opens in March for an October 1 start date, so timing your offer and acceptance accordingly is critical. If you're already in valid H-1B status with another employer, Netflix can file an H-1B transfer with USCIS that allows you to start once the petition is received, without waiting for the new cap year. Cap-exempt situations, such as transitioning from F-1 OPT, follow different timelines.