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Netflix Machine Learning Jobs (NOW HIRING)

OR

$523K - $920K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ...

Netflix continues to shape the future of entertainment by developing personalized ways for members to discover and enjoy a rapidly expanding catalog of content. The Machine Learning & Inference ...

OR · On-site

Netflix continues to shape the future of entertainment by developing personalized ways for members to discover and enjoy a rapidly expanding catalog of content. The Machine Learning & Inference ...

OR · On-site

Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... You will work closely with our machine learning researchers, product managers, and other engineers ...

OR · On-site

$466K - $750K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... We work at the intersection of creative game design and cutting-edge machine learning, ensuring ...

OR

$466K - $750K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... We work at the intersection of creative game design and cutting-edge machine learning, ensuring ...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... We work at the intersection of creative game design and cutting-edge machine learning, ensuring ...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... We work at the intersection of creative game design and cutting-edge machine learning, ensuring ...

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Netflix Machine Learning information

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$25.5K

$42.6K

$88K

How much do netflix machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for netflix machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do at Netflix?

A Machine Learning Engineer at Netflix develops and deploys advanced algorithms to personalize recommendations, optimize streaming quality, and enhance content discovery for users. Their work involves analyzing large datasets, building predictive models, and collaborating with data scientists, software engineers, and product teams. The goal is to improve user experience and drive business growth using state-of-the-art machine learning techniques. These engineers also contribute to research, experimentation, and the implementation of scalable ML systems across the platform.

How does a Machine Learning Engineer at Netflix typically collaborate with product and engineering teams to deliver impactful solutions?

At Netflix, Machine Learning Engineers work closely with product managers, data scientists, and software engineers to design and deploy ML-driven features that enhance user experiences. Collaboration often involves regular meetings to understand product requirements, brainstorming sessions to identify data-driven opportunities, and joint efforts in model development and A/B testing. Machine Learning Engineers are also responsible for communicating complex technical concepts to non-technical stakeholders, ensuring alignment across teams. This cross-functional teamwork is essential for delivering scalable, high-impact solutions that align with Netflix's business goals.

What is the difference between Netflix Machine Learning vs Data Scientist?

AspectNetflix Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; experience with ML frameworksBachelor's or master's in CS, statistics, or related fields; strong analytical skills
Work EnvironmentTech-driven, collaborative teams focused on product recommendations and personalizationData analysis, modeling, and insights generation across various business units
Employer & Industry UsagePrimarily in tech companies like Netflix, focusing on machine learning applicationsAcross industries including tech, finance, healthcare, often in data-driven roles

Netflix Machine Learning specialists focus on developing algorithms for content recommendations and personalization, requiring strong ML skills. Data Scientists analyze data to generate insights, often using statistical methods. While both roles require similar educational backgrounds, Netflix Machine Learning roles are more specialized in algorithm development within tech companies, whereas Data Scientists have broader analytical responsibilities across industries.

What are the key skills and qualifications needed to thrive as a Netflix Machine Learning Engineer, and why are they important?

To thrive as a Netflix Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with large-scale data analysis. Expertise with programming languages like Python or Scala, ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are commonly required. Strong problem-solving abilities, creativity, and effective collaboration skills set standout candidates apart. These skills are crucial for developing innovative algorithms that enhance user experience and drive business value in a data-driven environment.
More about Netflix Machine Learning jobs
What cities are hiring for Netflix Machine Learning jobs? Cities with the most Netflix Machine Learning job openings:
What states have the most Netflix Machine Learning jobs? States with the most job openings for Netflix Machine Learning jobs include:
Infographic showing various Netflix Machine Learning job openings in the United States as of June 2026, with employment types broken down into 66% As Needed, 17% Full Time, and 17% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Manager - Localization Algorithms

Machine Learning Manager - Localization Algorithms

Netflix

OR

$523K - $920K/yr

Other

Medical, Life, Retirement, PTO

Posted 3 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

57th of 65 rated media


Job description

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 Localization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly talented team in developing cuttingedge algorithms and systems, and collaborate closely with crossfunctional partners to enhance localization experiences for Netflix members around the world. Responsibilities Lead a broad portfolio of end-to-end initiatives in multimodal LLM and audio algorithms to achieve Netflix's ambitious localization goals.

Mentor, support, and inspire a team of Research Scientists and Machine Learning Engineers, amplifying their impact and fostering their career growth. Partner with technical leads on defining area strategy, planning and executing projects, and developing talent. Set and operationalize a high bar for both execution speed and quality, while nurturing a culture of exceptional technical excellence.

Bring cutting-edge technical expertise and build deep domain knowledge to uncover new opportunities and make strategic bets. Build strong relationships with cross-functional, cross-domain partners to shape long-term collaborations and shared visions. Act as a functional leader and domain expert, representing the team's work and strengthening the team's internal and external brand.

Contribute to the growth and upskilling of the broader Machine Learning community at Netflix. About you Proven track record of successfully leading highly technical ML research and engineering teams in multimodal LLMs, speech recognition and understanding, and generative speech. Highly proficient in multimodal LLM and speech algorithm research, and deeply committed to staying current with the latest technical developments; have led teams to launch and continuously improve production ML services.

Passionate about leading teams through ambiguous and complex technical and business challenges; focused on bringing clarity, structure, and effective execution. Strong track record in mentoring and developing talent, with proven success recruiting researchers and engineers at multiple levels. Master's or PhD in Machine Learning, Computer Science, or a closely related field.

6+ years of hands-on ML experience (or 4+ years with a relevant PhD). 2+ years of experience leading ML teams. Exceptional verbal and written communication skills.

Deeply committed to delivering end-to-end business impact. Netflix culture resonates with you. 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 $523,000.00 - $920,000.00

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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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997