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Netflix Research Jobs (NOW HIRING)

Netflix

Creative Tech Researcher 5

Los Angeles, CA

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA · On-site

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 5

Los Angeles, CA · On-site

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

Netflix

Creative Tech Researcher 4

Los Angeles, CA · On-site

The Creative Technology Research team focuses on solving high-impact technical challenges in filmmaking through the building of foundational video generation models. Having recently joined Netflix ...

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$95K

How much do netflix research jobs pay per year?

As of Aug 17, 2026, the average yearly pay for netflix research in the United States is $58,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is Netflix Research?

Netflix Research is a division within Netflix that focuses on advancing the science and technology behind the streaming platform. The team conducts cutting-edge research in areas like machine learning, computer vision, content personalization, video encoding, and user experience. Their work helps improve Netflix's recommendation systems, streaming quality, and overall product innovation. By publishing papers and collaborating with the academic community, Netflix Research also contributes to advancements in AI and media technology.

How does a Netflix Researcher typically collaborate with product, engineering, and content teams?

A Netflix Researcher works closely with cross-functional teams, including product managers, engineers, and content strategists, to translate research findings into actionable insights. Collaboration often involves presenting data-driven recommendations, participating in brainstorming sessions, and helping prioritize projects based on user needs and business goals. Researchers may conduct user studies, analyze behavioral data, and synthesize feedback to inform product features or content strategies. This collaborative environment supports innovation and ensures that research directly impacts key decisions across the company.

What are the key skills and qualifications needed to thrive as a Netflix Researcher, and why are they important?

To thrive as a Netflix Researcher, you generally need a strong background in data science, statistics, and research methodologies, often supported by an advanced degree in a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with machine learning frameworks are typically required. Critical thinking, curiosity, and effective communication skills help researchers translate complex findings into actionable insights for diverse teams. These capabilities enable Netflix Researchers to drive data-informed decisions that shape content strategies and enhance user experience.

What is the difference between Netflix Research vs Netflix Data Analyst?

AspectNetflix ResearchNetflix Data Analyst
Required CredentialsAdvanced degrees in data science, statistics, or related fieldsBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentResearch teams focused on developing new algorithms, models, and insightsAnalyzing data to inform business decisions and improve user experience
Employer & Industry UsagePrimarily in R&D departments for content recommendation, personalization, and algorithm developmentAcross product teams to interpret data, generate reports, and support strategic initiatives

Netflix Research focuses on developing innovative algorithms and models through advanced research, often requiring higher-level degrees. Netflix Data Analysts interpret data to support decision-making and optimize user experience. While both roles work within Netflix's data ecosystem, Research is more experimental and theoretical, whereas Data Analysts focus on practical data interpretation and reporting.

Is there an actual Netflix researcher job?

Yes, Netflix employs researchers in various roles such as data scientists, user experience researchers, and content analysts. These positions typically require skills in data analysis, research methodologies, and familiarity with tools like SQL, Python, or survey platforms. They often involve working in collaborative environments to improve content recommendations, user experience, or content strategy.
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What states have the most Netflix Research jobs?

States with the most job openings for Netflix Research jobs include:

What job categories do people searching Netflix Research jobs look for?

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Netflix Research jobs near you
Infographic showing various Netflix Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $58,746 per year, or $28.2 per hour.

Research Scientist 5 - Content Representation Models (CRM)

Netflix

Los Gatos, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 26 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 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.
About the Team
The Content Representation Models team creates a single, unified "language" for Netflix's entire library by developing foundation models that understand everything from video and audio to text and artwork at a semantic level. By treating these powerful embeddings as a core product, we give Netflix the ability to match the right content to the right member, supercharging personalization and helping everyone discover something they'll love.
The team's current areas of focus include:
  • Unified Content Embedding: Merging media-based and metadata-based embedding approaches into a single cohesive model, creating rich semantic representations of all content across video, audio, and text modalities
  • Multimodal and Multi-Granularity Embeddings: Creating embeddings from various content types at different levels of detail, from entire shows down to individual shots and clips
  • Semantic IDs: Developing unique, meaningful identifiers for content that enable more sophisticated retrieval and recommendation
  • Profile and Content Embedding Alignment: Aligning member profile embeddings with content embeddings in the same space to enhance personalization

About the Role
We are looking for a Research Scientist specializing in embeddings and representation learning to investigate how we can enhance content understanding capability in Netflix's foundation models.
How foundation models understand content is one of the most important open research questions for Netflix personalization. Today, our models rely on a mix of metadata, behavioral signals, and media-based representations. The opportunity ahead is to significantly deepen that understanding through approaches like Semantic IDs, continuous pre-training, novel representation learning methods, or other state-of-the-art techniques.
The person in this role will help shape that research direction and bring new ideas to the table. This is an area where the optimal strategy is still being defined, which means there is real room to influence the approach and make a lasting impact on how Netflix's foundation models reason about content.
What makes this role unique:
  • Open research problem with real product impact. Enhancing how foundation models understand content is a crucial and unsolved challenge. Your work will directly improve how 300M+ members discover content.
  • Research that ships. This isn't a pure research lab. Your work will feed into foundation models that power personalization across every Netflix surface. The loop between research and member impact is tight.
  • Bring your own approach. We have hypotheses (Semantic IDs, continuous pre-training, etc.) but we're looking for someone who brings their own perspective and methods to the problem.
  • World-class collaborators. You will work alongside researchers and engineers across content understanding, foundation models, and application teams who are pushing the state of the art in personalization at scale.

Responsibilities
  • Drive applied research on enhancing content understanding capability in Netflix's foundation models
  • Conceptualize, design, implement, and validate new approaches to representation learning and content embeddings
  • Explore and apply state-of-the-art AI/ML techniques, including methods for improving how LLMs and foundation models represent and reason about content
  • Develop production-ready solutions and partner with application teams to ensure research translates into member-facing impact
  • Design and run rigorous offline experiments and evaluations to validate new approaches
  • Collaborate with cross-functional teams across content understanding, foundation models, and personalization applications
  • Contribute to the broader research community through publications at top venues

What We're Looking For
Must-haves:
  • Ph.D. in Computer Science or a related field with a strong publication record in embeddings, representation learning, or a closely related domain
  • 3+ years of research experience with a track record of delivering quality results
  • Deep expertise in machine learning, including practical experience with LLMs and/or foundation models
  • Strong software engineering skills in Python (eg, PyTorch /)
  • Excellent communication and collaboration skills

Nice-to-haves:
  • Experience in adopting LLM for Recsys. More specifically, building Semantic IDs and ground them in LLMs.
  • Experience in computer vision or multimodal AI
  • Industry experience in recommendation systems, search, personalization, or retrieval
  • Experience with LLM pre-training, fine-tuning, or distillation
  • Hands-on experience with distributed training
  • Publications in top ML conferences (NeurIPS, ICML, ICLR, KDD, RecSys)
  • Applied research experience in industrial settings

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.
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.

What Netflix employees say

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Hours and flexibility

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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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