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Netflix Machine Learning Jobs in California (NOW HIRING)

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Netflix Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do netflix machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for netflix machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 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.
What are popular job titles related to Netflix Machine Learning jobs in California? For Netflix Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Netflix Machine Learning jobs in California look for? The top searched job categories for Netflix Machine Learning jobs in California are:
Infographic showing various Netflix Machine Learning job openings in California as of June 2026, with employment types broken down into 60% As Needed, 20% Full Time, and 20% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
AI Product Manager, Content Platform Operations & Publishing

AI Product Manager, Content Platform Operations & Publishing

Netflix

Los Angeles, CA • On-site, Remote

Other

Medical, Life, Retirement, PTO

Posted 19 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. Location Los Gatos, CA, Los Angeles, CA, or Remote (within the US). Regular travel to Los Gatos and Los Angeles is required.

The Team The Content Platform Operations & Publishing (CPOP) team sits at the intersection of AI and machine learning, the consumer experience and the Netflix Studio. We are an integral part of making the Netflix experience feel personal and relevant by developing innovative approaches to how we promote, localize, and distribute our content. Our products impact both our members and the content creators, linguists, editors and executives who make our shows and films possible.

We are seeking a Product Manager with strong understanding of machine learning and passion for AI innovation and technology to lead strategic initiatives that will transform our internal tools and content operations. In this role, you will: Drive the integration of state-of-the-art AI and machine learning models into our content platform and publishing tools enabling hyper-personalized and contextually relevant experiences for global audiences. Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality promotional assets, supporting our rapidly expanding content catalog.

Identify and implement novel AI-driven solutions to complex challenges in content distribution, asset management, and language experiences, ensuring our platform remains at the cutting edge of entertainment technology. Partner with researchers, engineers, and stakeholders to translate the latest advancements in AI into scalable, user-centric products that empower both Netflix members and our creative partners. If you thrive at the intersection of AI technology and entertainment, and are excited to shape the future of content operations through innovation, we'd love to hear from you.

Responsibilities include: Build strategic roadmaps, taking product concepts from idea through validation, shipping, measurement, and iteration. You will author strategy memos and presentations to represent your team's work to senior executives. Lead the incubation and system design of new Machine Learning or AI capabilities, from idea to production in partnership with applied researchers, data scientists, and engineers, and integrating these capabilities into our suite of tools.

Discover new needs that artists, creators and content executives have, distilling their needs into product roadmaps and delivering solutions that drive real business impact. Communicate your vision and strategy broadly throughout the organization, presenting technical and complex information to non-technical audiences. Use exceptional analytical and ML/AI evaluation skills and a rigorous, hypothesis-driven approach to inform priorities, build business cases, and measure impact.

What We're Looking For While no candidate will check every box, we are looking for a senior Product Manager with a proven track record of success. 6+ years of product management experience with a proven record of prioritizing and successfully launching impactful products or platforms. Intermediate or advanced knowledge of Machine Learning techniques and evaluation best practices Ability to mobilize an entire organization toward a common goal and build strong relationships across functions and geographies.

Previous experience in leading end-to-end products that incorporate Machine Learning and AI focused solutions, including experience launching AI-enabled products and perfecting/customizing underlying models. Previous experience with the ML lifecycle (data collection and labeling, model evaluation, etc.). Applied experience using data to inform priorities and evaluate impact

Excellent written and verbal communication skills. Experience building products for creative teams, internal partners, or B2B enterprise clients. Experience with media supply chains, localization, or translation is a plus.

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 $310,000.00 - $545,000.00. 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. 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