ML Engineer Visa Sponsorship Jobs in California
ML engineer visa sponsorship jobs in California sit at the center of the global AI industry, with major employers spanning San Francisco, the South Bay, and Los Angeles. Companies like Google, Meta, Apple, and a dense tier of AI-focused startups regularly sponsor H-1B visa and other work visas for qualified ML engineers across the state.
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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.
The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.
We are looking for a Machine Learning Engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to research, develop, and deploy scalable models and systems to analyze, create, and transform media assets.
ROLE AND RESPONSIBILITIES
- Design and deploy reusable algorithms and frameworks for ML models in production.
- Iterate across the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.
- Collaborate cross-functionally with research scientists, product managers, creators, and business partners to help define and prioritize system requirements.
- Work closely with ML/CV/Graphics researchers, Infrastructure, and Studio teams to productize algorithms and models.
- Participate in algorithm development and propose scalable designs.
- Promote and facilitate software engineering best practices in the team.
BASIC QUALIFICATIONS
- Strong track record of deploying artist-facing ML tools
- Experience with computer graphics / VFX / content creation / game platforms such as Nuke, Houdini, Maya, Avid, Unreal Engine, or Unity
- Excellent ML / CV fundamentals and experience with ML, CV, and/or graphics pipelines
- Passion for turning ideas into products and improving the user experience
- Skills in OO programming (Python, Java, or C++)
- Experience with large-scale distributed data processing systems and cloud infrastructure
- Comfort with the ambiguity of an emerging field
- Excellent communication and people engagement skills
PREFERRED QUALIFICATIONS
- Experience with models and tools for generative models, such as Diffusion models and ComfyUI
- Building end-to-end multimedia systems and algorithms
- Deep learning frameworks such as PyTorch and Tensorflow
COMPENSATION
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.
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.
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.
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.
The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.
We are looking for a Machine Learning Engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to research, develop, and deploy scalable models and systems to analyze, create, and transform media assets.
ROLE AND RESPONSIBILITIES
- Design and deploy reusable algorithms and frameworks for ML models in production.
- Iterate across the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.
- Collaborate cross-functionally with research scientists, product managers, creators, and business partners to help define and prioritize system requirements.
- Work closely with ML/CV/Graphics researchers, Infrastructure, and Studio teams to productize algorithms and models.
- Participate in algorithm development and propose scalable designs.
- Promote and facilitate software engineering best practices in the team.
BASIC QUALIFICATIONS
- Strong track record of deploying artist-facing ML tools
- Experience with computer graphics / VFX / content creation / game platforms such as Nuke, Houdini, Maya, Avid, Unreal Engine, or Unity
- Excellent ML / CV fundamentals and experience with ML, CV, and/or graphics pipelines
- Passion for turning ideas into products and improving the user experience
- Skills in OO programming (Python, Java, or C++)
- Experience with large-scale distributed data processing systems and cloud infrastructure
- Comfort with the ambiguity of an emerging field
- Excellent communication and people engagement skills
PREFERRED QUALIFICATIONS
- Experience with models and tools for generative models, such as Diffusion models and ComfyUI
- Building end-to-end multimedia systems and algorithms
- Deep learning frameworks such as PyTorch and Tensorflow
COMPENSATION
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.
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.
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.
ML Engineer Job Roles in California
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Search ML Engineer Jobs in CaliforniaML Engineer Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for ML engineers?
Large technology companies with established immigration programs, including Google, Apple, Meta, Amazon Web Services, and Microsoft's Bay Area offices, consistently file H-1B petitions for ML engineers. Beyond the major players, California-based AI startups and research labs such as OpenAI, Anthropic, and Scale AI have also sponsored work visas for machine learning roles in recent years.
Which visa types are most common for ML engineer roles in California?
The H-1B is the most common visa for ML engineers in California because machine learning roles at the bachelor's level and above qualify as specialty occupations. Candidates already in the U.S. on F-1 OPT, including the 24-month STEM extension, frequently use that period to secure H-1B sponsorship. O-1A visas appear less often but are an option for engineers with a documented record of significant contributions or recognition in the field.
Which cities in California have the most ML engineer visa sponsorship jobs?
The San Francisco Bay Area, including San Francisco, Sunnyvale, Mountain View, and Menlo Park, accounts for the largest share of ML engineer sponsorship activity in the state. Los Angeles has grown steadily as a secondary hub, driven by companies in media technology, autonomous vehicles, and defense AI. San Diego has a smaller but active cluster tied to biotech AI and defense contractors.
How to find ml engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates seeking visa sponsorship jobs, including ML engineer roles in California. You can filter by state and role to surface companies with active sponsorship history rather than sifting through listings that may not lead to a petition. Reviewing the Department of Labor's H-1B disclosure data alongside Migrate Mate listings helps confirm which California employers have filed for similar positions recently.
Are there any California-specific considerations for ML engineers seeking visa sponsorship?
California's prevailing wage requirements under H-1B rules often reflect some of the highest wage levels in the country given the state's cost of living, meaning employers must offer competitive compensation that meets Department of Labor standards for the relevant metropolitan area. The state's large research university pipeline, particularly UC Berkeley, Stanford, and UCLA, also creates significant competition for sponsorship slots, so candidates with specialized expertise in areas like large language models or computer vision tend to stand out.
What is the prevailing wage for sponsored ml engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.