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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Content Strategist
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Design experiences that transform Gallup's research into stories people understand, trust and act on. As a senior content designer at Gallup, you'll shape how people experience our brand across our ...
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$22 - $26/hr
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Category Content Coordinator
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$22 - $26/hr
Assisting the eCommerce Site Experience Manager in researching and implementing best practices in ... The Category Content Coordinator helps Jenson USA meet sales and growth goals through the ...
Category Content Coordinator
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$22 - $26/hr
Category Content Coordinator Salary Range $22.00 - $26.00 Hourly Position Type Full Time Job Shift ... Assisting the eCommerce Site Experience Manager in researching and implementing best practices in ...
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Category Content Coordinator Salary Range $22.00 - $26.00 Hourly Position Type Full Time Job Shift ... Assisting the eCommerce Site Experience Manager in researching and implementing best practices in ...
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Manage end-to-end quantitative and qualitative research projects across unscripted content (including testing for pilots/episodes, marketing materials, early-stage concepts, and series performance ...
Quick apply
Manage end-to-end quantitative and qualitative research projects across unscripted content (including testing for pilots/episodes, marketing materials, early-stage concepts, and series performance ...
Manage end-to-end quantitative and qualitative research projects across unscripted content (including testing for pilots/episodes, marketing materials, early-stage concepts, and series performance ...
Manage end-to-end quantitative and qualitative research projects across unscripted content (including testing for pilots/episodes, marketing materials, early-stage concepts, and series performance ...
Content Researcher information
See California salary details
$29.6K - $41.7K
4% of jobs
$41.7K - $53.7K
3% of jobs
$53.7K - $65.8K
18% of jobs
$66.1K is the 25th percentile. Wages below this are outliers.
$65.8K - $77.9K
9% of jobs
$77.9K - $89.9K
8% of jobs
$89.9K - $102K
3% of jobs
$102K - $114.1K
3% of jobs
The median wage is $118.6K / yr.
$114.1K - $126.1K
4% of jobs
$126.1K - $138.2K
3% of jobs
$138.2K - $150.3K
3% of jobs
$155K is the 75th percentile. Wages above this are outliers.
$150.3K - $162.3K
41% of jobs
$29.6K
$111.6K
$162.3K
How much do content researcher jobs pay per year?
What skills and qualifications are needed to be a content researcher?
To thrive as a Content Researcher, you need a keen eye for detail, strong analytical skills, and a background in writing, communications, or a related field. Familiarity with research databases, content management systems, and tools like Google Analytics or Excel is often required. Excellent organization, time management, and the ability to clearly communicate findings help you stand out. These competencies ensure the delivery of accurate, relevant, and actionable content that supports organizational goals.
What does a content researcher do?
Content Researchers spend much of their day gathering information from credible sources, analyzing industry trends, and synthesizing insights to support content creation. They often collaborate closely with writers, editors, and marketing teams to ensure the accuracy and relevance of published materials. In addition to research, responsibilities may include fact-checking, preparing reports, and organizing research data for easy access. This role is crucial in maintaining high content quality and aligning deliverables with audience needs and company objectives.
What is a content researcher?
A Content Researcher is responsible for gathering, analyzing, and verifying information to support the creation of high-quality content. They conduct in-depth research from various sources, including articles, reports, and interviews, to ensure accuracy and relevance. Their work helps writers, editors, and marketers develop informed, well-supported materials for blogs, articles, social media, and other content platforms.
How do you become a content researcher?
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- Flexible Global Market Research
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- Remote Market Research Intern
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- Freelance Qualitative Market Research
- Manager Nielsen Market Research
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Full-time
Medical, Life, Retirement, PTO
Re-posted 15 days ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
70th of 76 rated media
Job description
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.
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