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Netflix Machine Learning Jobs (NOW HIRING)

Netflix

OR · On-site

$466K - $750K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Design and implement machine learning and optimization algorithms to improve ad quality and ...

Netflix

Machine Learning Scientist 5 - Ad Ranking

$466K - $750K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Design and implement machine learning and optimization algorithms to improve ad quality and ...

Netflix

OR

$466K - $750K/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Design and implement machine learning and optimization algorithms to improve ad quality and ...

Netflix

OR · On-site

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

Netflix

OR

At Netflix, our mission is to entertain the world. Together, we are writing the next episode ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

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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:
What job categories do people searching Netflix Machine Learning jobs look for? The top searched job categories for Netflix Machine Learning jobs are:
Netflix Machine Learning jobs near you
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.
Software Engineer L5, Machine Learning Platform (Metaflow)

Software Engineer L5, Machine Learning Platform (Metaflow)

Netflix

Los Gatos, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 5 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

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
The Role
Netflix is the world's leading streaming entertainment service with 240M+ paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Machine Learning drives innovation across all product functions and decision support needs. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.
We are seeking a senior software engineer to join the Metaflow project, developing a product that makes it easy to build, manage and scale real life ML applications. Metaflow is used in over 100+ distinct ML applications within Netflix, spanning personalization and recommendations, growth and Ads.
You will lead requirements, design, and implementation of Metaflow product improvements, and have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve Metaflow and the Machine Learning Platform in general. You will also partner with the OSS Metaflow development community to ensure a mutually beneficial roadmap and relationship.
To be successful in this role, you must have a strong software engineering background, a keen sense of software design, a track record of prioritizing user experience, have proven experience with distributed applications, be a good communicator, and work well in large cross-functional teams.
What we are looking for:
  • 5+ years of software engineering experience with a successful track record of delivering quality results
  • Strong software design and development skills, with prior Python experience
  • Experience working with tools, systems, and processes that accelerate ML researchers and Data Scientist velocity
  • Experience in building and operating scalable and reliable ML systems
  • Experience in large-scale build, release, continuous integration/continuous deployment (CI/CD), and observability methods
  • Experience working with public clouds, especially AWS
Preferred, but not required additional areas of experience:
  • Knowledge of machine learning algorithms
  • Prior experience as a Data Scientist or MLE
  • Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.
  • Significant contributions to open source projects
  • Experience in building UI
More information
  • To learn more about the work we do to check if it align with your interests, check the following articles:
  • Supporting Diverse ML Systems at Netflix
  • Metaflow
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 $100,000 - $720,000.
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 detail about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

What Netflix employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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