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60 Netflix Research Software Engineer Jobs Hiring Near You

Netflix

Machine learning research at Netflix improves various aspects of our business, including ... Comfort with software engineering best practices (version control, testing, code review) Program ...

Netflix

Research Engineer 5/6 - AI for Member Systems

OR · On-site +1

We're looking for a passionate and talented Research Engineer to join our Al for Member Systems. In ... software engineering to design, develop, and scale solutions that power the Netflix experience. Key ...

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Netflix Jobs Information

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.

What makes Netflix an attractive place to work?

Netflix is a leading global entertainment company that has revolutionized the way people consume media, with a strong reputation for innovation and disruption in the industry. The company's workplace culture values creativity, collaboration, and employee autonomy, with a focus on fostering a dynamic and inclusive environment that encourages experimentation and growth. As a result, Netflix offers a unique opportunity for professionals to contribute to shaping the future of entertainment, develop their skills, and advance their careers in a fast-paced and ever-evolving industry.

Do workers at Netflix get paid breaks?

Yes. Most people get paid breaks.
89% of people say they get paid breaks.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and January 2026.

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.

At Netflix, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
57% of people say they have to use vacation days when they’re out sick.
Based on data from 7 people who took the Breakroom Quiz between May 2025 and January 2026.

Is the health insurance from Netflix affordable enough for their workers?

Most people say the health insurance costs are okay.
89% of people say the health insurance costs are okay
Based on data from 9 people who took the Breakroom Quiz between May 2025 and January 2026.

Do people get paid time off at Netflix?

Most people get paid time off work.
78% of people say they get paid time off.
Based on data from 9 people who took the Breakroom Quiz between May 2025 and May 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 60% of people with changing schedules find out their shifts one week or less ahead of time.
  • 20% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 20% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 5 people who took the Breakroom Quiz between November 2024 and September 2025.

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.

Do Netflix workers get to choose the shifts they work?

Most people don’t get to choose which shifts they work.
75% report that they don’t have enough control over which shifts they work.
Based on data from 8 people who took the Breakroom Quiz between February 2025 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.

Do Netflix managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
33% of people say their manager changes their shift schedule at the last minute.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and September 2025.

Do jobs at Netflix spill into time workers aren’t paid for?

Sometimes. The job can spill into unpaid time.
44% of people report that their job takes up time that they don’t get paid for.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and September 2025.

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

Do people at Netflix enjoy their jobs?

Most people enjoy their job.
67% of people report they enjoy their job.
Based on data from 9 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 Research Software Engineer jobs?

What are the most popular jobs at Netflix?

What are the most popular categories at Netflix?

Infographic showing various Research Software Engineer job openings at Netflix in the United States as of September 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 61% Physical, 3% Hybrid, and 36% Remote job distribution.

Research Engineer L5 - Machine Learning Efficiency

Los Gatos, CA • On-site

Netflix
Arts, Entertainment, and Recreation • 5 - 10K employees
Learn more about Netflixexternal

$238K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

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
Fast-paced innovation in the theory and practice of large language models (LLMs) and other foundation models is greatly helping to advance state-of-the-art in personalization and discovery experiences. However, cost-effective and efficient training and serving of the models at Netflix's scale is a technical challenge. Hence we are looking for an exceptional applied research engineer to help us develop the technology that would enable efficient training and serving of these models.
In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists.
What we are looking for:
  • 5+ years of software engineering experience with a track record of delivering quality results.
  • Proven expertise in training and serving infrastructure for LLMs and other large foundation models.
  • Strong problem-solving skills with knowledge of statistical methods.
  • Strong software development experience in languages such as Python and Java.
  • Deep understanding of TensorFlow and/or PyTorch.
  • Familiarity with hardware and software accelerators and GPU-based optimizations
  • Great interpersonal skills.
  • Strong communication skills - written and verbal.
  • Graduate degree in Computer Science, Statistics, or a related field.

Preferred, but not required, additional areas of experience:
  • Experience as a technical leader.
  • Experience working with cross-functional teams.
  • Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
  • Experience with Spark or other distributed computed platforms.
  • Experience with cloud computing platforms and large web-scale distributed systems.
  • Experience in applied research in industrial settings.
  • Open source contributions.
  • Research publications at peer-reviewed journals and conferences on relevant topics.

Links to some of our published work:
  • Synergistic Signals: Exploiting Co-Engagement and Semantic Links via GNN - Under review.
  • Lessons Learnt From Consolidating ML Models in a Large-Scale Recommendation System
  • Search Personalization at Netflix - PaRiS Workshop - WebConf 2023.
  • Augmenting Netflix Search with In-Session Adapted Recommendations - RecSys 2022
  • Query Facet Mapping and its Applications in Streaming Services - SIGIR 2022
  • Recommendations and Results Organization in Netflix Search - RecSys 2021
  • Challenges in Search on Streaming Services: Netflix Case Study - SIGIR 2019
  • Netflix Research site

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

Benefits

Hours and flexibility

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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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