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60 Netflix Machine Learning Intern Jobs Hiring Near You

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Machine Learning Scientist 5 - Games

$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 ...

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

$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 ...

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What is it like to work at Netflix?

Netflix is known for its fast-paced and innovative work environment, where creativity and experimentation are highly valued. The company operates with a flat organizational structure, allowing employees to work closely with their peers and leaders, and has a strong focus on employee growth and development through various training programs and opportunities for advancement. Working at Netflix may appeal to candidates who are passionate about disrupting traditional industries and are eager to be part of a company that prioritizes innovation, diversity, and employee autonomy.

Does Netflix pay people when they’re sick?

Yes. Most people get paid when they’re sick.
73% of people say they would get paid if they were sick but scheduled to work.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do workers at Netflix worry about hours?

Most people don’t worry about getting enough hours.
80% of people report they don’t worry about getting enough hours.
Based on data from 10 people who took the Breakroom Quiz between November 2024 and September 2025.

How easy is it to get time off at Netflix?

Some people find it hard to get time off.
50% of people report it’s hard to get time off.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.

How easy is it to take sick days at Netflix?

Most people find it easy to take sick days.
73% of people report that it’s easy to take time off if they are sick.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
38% of people say they’re not treated with respect by their managers.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix get to take their breaks without interruption?

Most people get breaks without interruption.
67% of people report that they get to take their breaks without interruption.
Based on data from 12 people who took the Breakroom Quiz between November 2024 and January 2026.

Is it stressful to work at Netflix?

Most people feel stressed out here.
77% of people say they often feel stressed out at work.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix recommend working with their team?

Only some people recommend working with their team.
40% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get enough training when they start at Netflix?

Some people didn’t get enough training when they started.
38% of people report they didn’t get enough training when they started working here.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get support to advance at Netflix?

Only some people are given support to advance their career here.
In the last year, 43% of people report not being given support to advance their career here.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people think Netflix’s headquarters understands what’s happening where they work?

Some people think headquarters doesn’t understand what’s happening where they work.
60% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do workers feel well informed about how Netflix is doing?

Only some people feel well informed about how the company is doing.
50% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.
What other companies are hiring for Machine Learning Intern jobs?
What are the most popular jobs at Netflix?
What are the most popular categories at Netflix?
Infographic showing various Machine Learning Intern job openings at Netflix in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 60% Physical, and 40% Remote job distribution.
Machine Learning Scientist 5 - Games

Machine Learning Scientist 5 - Games

Netflix

Remote

$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 17 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 64 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.
Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative at Netflix Games is dedicated to pioneering the next generation of interactive entertainment. We have the ambition to transform how players interact with stories, characters, and worlds by empowering gameplay experience with AI. We work at the intersection of creative game design and cutting-edge machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players.
We are seeking an experienced L5 ML Scientist specialized in forecasting and audience research.
In this role, you will:
  • Build Foundational ML Building Blocks: Develop sophisticated embeddings and models that incorporate deep game-specific signals to solve high-impact business problems, including audience insights, opportunity sizing, and forecasting.
  • Accelerate Product Development: Build the tools, models, and pipelines required to accelerate DSE workflows across games portfolio, studios, product, and platform.
  • Bridge the Netflix Ecosystem: Act as a key liaison with the broader Netflix DSE and AI teams to adopt, adapt, and tailor global Netflix capabilities for the unique requirements of the gaming space.
  • Design Scalable Pipelines: Create end-to-end ML pipelines that accelerate and enable DSE members across games to uncover actionable insights and build data-intensive game features.
  • Elevate ML Practices: Establish the technical standards for how ML capabilities are applied across game domains.

Who Will Succeed in This Role:
  • Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of experience leading complex, end-to-end ML projects that impact end-customer experiences.
  • 3+ years of experience navigating large-scale technical organizations to align roadmap priorities and share infrastructure
  • You can digest the latest research paper in the morning and ship a functional prototype or foundational model by the afternoon.
  • You can bridge the gap between technical ML architecture and business objectives, translating product needs into rigorous technical specifications.
  • You thrive in zero-to-one environments, enjoying the freedom to choose your stack and define the engineering standards for a new domain.
  • You have a foundational understanding of causal inference principles, allowing you to discern when a predictive model is sufficient vs. when a causal approach is required.
  • You have a passion for developing reusable ML capabilities to unlock and accelerate development work broadly.

Nice to Have:
  • Experience working with game development teams, particularly in game design and engineering.
  • Experience with building production-grade ML systems, including MLOps best practices.
  • Have strong engineering skills, particularly in designing and optimizing evaluation frameworks (e.g., Python, PyTorch, LangChain).

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.

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About Netflix

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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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