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Netflix Machine Learning Jobs in California (NOW HIRING)

Netflix

Research Engineer, Machine Learning L6

Los Gatos, CA · On-site

$238K/yr

Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... Hence we are looking for exceptional applied machine learning engineers to help us develop the ...

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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 10, 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:
Netflix Machine Learning jobs near you
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.
Machine Learning Scientist 5 - Ads Bidding

Machine Learning Scientist 5 - Ads Bidding

Netflix

Los Angeles, CA • On-site, Remote

$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 22 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.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming 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 deeply engaged audiences.
Our Team:
The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers-all while maintaining the exceptional quality and personalization that define the Netflix experience.
Responsibilities:
  • Design and implement machine learning-driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS,.
  • Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts.
  • Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes.
  • Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals.
  • Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals.
  • Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions.

Qualifications:
  • Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field.
  • Proficiency in Python, Scala or Java.
  • Deep knowledge of machine learning, optimization, and data analysis techniques.
  • Experience with prototyping and deploying algorithms using large-scale production data.
  • Strong business acumen and ability to translate technical results into business impact.
  • Experience in building bidding algorithms.
  • Excellent communication and collaboration skills.

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.

What Netflix employees say

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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

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