Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking an experienced Machine Learning leader to manage a team dedicated to developing ...
60 Netflix Machine Learning Intern Jobs Hiring Near You
Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking an experienced Machine Learning leader to manage a team dedicated to developing ...
$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 ...
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 ...
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 ...
Machine Learning Manager - Localization Algorithms
$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 ...
Machine Learning Manager - Localization Algorithms
$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 ...
The Role As Netflix continues to grow, we are venturing into exciting new frontiers of ... You will lead the way for a team of machine learning engineers and researchers to develop the next ...
The Role As Netflix continues to grow, we are venturing into exciting new frontiers of ... You will lead the way for a team of machine learning engineers and researchers to develop the next ...
The Role As Netflix continues to grow, we are venturing into exciting new frontiers of ... You will lead the way for a team of machine learning engineers and researchers to develop the next ...
The Role As Netflix continues to grow, we are venturing into exciting new frontiers of ... You will lead the way for a team of machine learning engineers and researchers to develop the next ...
$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 ...
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 ...
Machine Learning Manager - Localization Algorithms
$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 ...
Machine Learning Manager - Localization Algorithms
$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 ...
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 ...
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 ...
Machine Learning Manager - Localization Algorithms
$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 ...
Machine Learning Manager - Localization Algorithms
$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 ...
Data Engineer (L5) - Content Machine Learning
Los Angeles, CA · On-site
$123.40K - $148.20K/yr
Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... We are looking for a Data Engineer with a background in Machine Learning to own and scale our data ...
Data Engineer (L5) - Content Machine Learning
Los Angeles, CA · On-site
$123.40K - $148.20K/yr
Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... We are looking for a Data Engineer with a background in Machine Learning to own and scale our data ...
Machine Learning Manager - Localization Algorithms
Los Angeles, CA · On-site +1
$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 ...
Machine Learning Manager - Localization Algorithms
Los Angeles, CA · On-site +1
$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 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 ...
Data Engineer (L5) - Content Machine Learning
$123.40K - $148.20K/yr
Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... We are looking for a Data Engineer with a background in Machine Learning to own and scale our data ...
Data Engineer (L5) - Content Machine Learning
$123.40K - $148.20K/yr
Netflix is one of the world's leading entertainment services with 278 million paid memberships in ... We are looking for a Data Engineer with a background in Machine Learning to own and scale our data ...
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 ...
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 ...
$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 ...
$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 ...
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 ...
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 Jobs Information
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?
| Aspect | Machine Learning Intern | Data Science Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworks | Usually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills |
| Work Environment | Tech companies, research labs, startups focusing on AI/ML projects | Business, finance, healthcare, and tech sectors analyzing data for insights |
| Employer & Industry Usage | Used in companies developing AI products, research institutions, tech startups | Common 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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?
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
57th of 64 rated media
Job description
Job Summary:
Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking an experienced Machine Learning leader to manage a team dedicated to developing algorithms for localization, enhancing member experiences across diverse languages.
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.
Qualifications:
Required:
• 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.
Company:
Netflix is an online streaming platform that enables users to watch TV shows and movies. Founded in 1997, the company is headquartered in Los Gatos, USA, with a team of 10001+ employees. The company is currently Late Stage.
Netflix is a company focused on entertaining the world through innovative storytelling and technology. They are seeking an experienced Machine Learning leader to manage a team dedicated to developing algorithms for localization, enhancing member experiences across diverse languages.
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.
Qualifications:
Required:
• 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.
Company:
Netflix is an online streaming platform that enables users to watch TV shows and movies. Founded in 1997, the company is headquartered in Los Gatos, USA, with a team of 10001+ employees. The company is currently Late Stage.
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