Machine Learning Jobs at Netflix with Visa Sponsorship
Machine Learning jobs at Netflix involve building recommendation systems, content personalization, and streaming optimization at scale for engineers and researchers. 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.
At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort.
The Promotional Assets & Creative Technology DSE team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative writing teams to amplify and scale promotional writing for our members. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.
Responsibilities:
- Design rigorous experiments to test hypotheses, from setup through statistical validation — e.g., comparing two summary-generation algorithms with limited sample sizes, accounting for experimental limitations, and drawing sound conclusions.
- Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.
- Lead end-to-end ML development: research, model training, and evaluation.
- Partner with ML scientists and engineers to integrate models into business applications and platforms.
- Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.
- Track advancements in the field and apply them to improve the promotional writing experience for members.
- Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.
About you:
- Track record of designing, running, and analyzing rigorous experiments — from hypothesis formation through statistical validation of results.
- Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation is a big plus; background in vision models such as diffusion models is a plus.
- Expertise in one or more LLM post-training approaches.
- Strong programming skills in Python, with experience in common ML/DL frameworks such as PyTorch or TensorFlow.
- PhD (preferred) or MSc in ML, Computer Science, or a related field.
- Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.
- Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.
- Comfortable with ambiguity, able to take ownership, and able to thrive with minimal oversight or process.
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.
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.
At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence (e.g. Artwork, Trailers, Synopses) that authentically represents each title and resonates with the member is essential to this effort.
The Promotional Assets & Creative Technology DSE team is at the forefront of Netflix's efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative writing teams to amplify and scale promotional writing for our members. We are looking for a seasoned Machine Learning Scientist to design and develop innovative Machine Learning (ML) solutions. In this rare opportunity, you will have the chance to define the direction for algorithmic strategies and spearhead the execution of ML solutions and ultimately shape how titles are promoted on Netflix and discovered by our members.
Responsibilities:
- Design rigorous experiments to test hypotheses, from setup through statistical validation — e.g., comparing two summary-generation algorithms with limited sample sizes, accounting for experimental limitations, and drawing sound conclusions.
- Translate complex technical concepts for both technical and non-technical stakeholders to inform strategic decisions.
- Lead end-to-end ML development: research, model training, and evaluation.
- Partner with ML scientists and engineers to integrate models into business applications and platforms.
- Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.
- Track advancements in the field and apply them to improve the promotional writing experience for members.
- Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.
About you:
- Track record of designing, running, and analyzing rigorous experiments — from hypothesis formation through statistical validation of results.
- Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation. Research experience in summarization or generated-text evaluation is a big plus; background in vision models such as diffusion models is a plus.
- Expertise in one or more LLM post-training approaches.
- Strong programming skills in Python, with experience in common ML/DL frameworks such as PyTorch or TensorFlow.
- PhD (preferred) or MSc in ML, Computer Science, or a related field.
- Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.
- Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.
- Comfortable with ambiguity, able to take ownership, and able to thrive with minimal oversight or process.
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 Machine Learning Jobs at Netflix
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Netflix.
Get Access To All JobsTips for Finding Machine Learning Jobs at Netflix
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.
Frequently 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 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, 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.