ZipRecruiter

Log In

1

Facebook Research Jobs (NOW HIRING)

Meta

AI Research Engineer

Bellevue, WA

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier ... You'll be embedded directly in Facebook's ecosystem, helping reimagine core experiences and reshape ...

Facebook App

Product Manager (Leadership)

$249K/yr

Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction * Define and analyze metrics that inform the success of products * Understand Facebook ...

Oneoncology

Clinical research Coordinator

Shirley, NY · On-site

$30/hr

Clinical Research Coordinator Location: Float (Central Long Island) Hours/Days: 5/8.5 hour days ... NYCBS on Facebook New York Cancer & Blood Specialists is an Equal Opportunity Employer

Drexel University

Research Assistant

Philadelphia, PA · On-site

$19.50 - $26.75/hr

Research Assistant Job no: 506912 Work type: Full-Time Location: University City - Philadelphia, PA ... Jul 31 2026 Eastern Daylight Time Whatsapp Facebook LinkedIn Email App

University of Denver

Research

Denver, CO · On-site

$19.29 - $55/hr

Research Job no: 498613 Work type: Staff Part-Time Location: Denver, CO Categories: Research ... Whatsapp Facebook LinkedIn Email App

SAI MedPartners

Secondary Research Analyst

... research resources. * Extensive use of many databases including clinical (TrialTrove ... Social media monitoring (Facebook, LinkedIn, Twitter, etc.) * Setting of alerts in many resources ...

next page

Showing results 1-20

All JobsFacebook Research Jobs

Facebook Research information

See salary details

$9

$32

$67

How much do facebook research jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for facebook research in the United States is $32.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $39.18 per hour, depending on experience, location, and employer.

What is the difference between Facebook Research vs Data Scientist?

AspectFacebook ResearchData Scientist
Required CredentialsAdvanced degrees in CS, statistics, or related fields; research experienceDegree in CS, statistics, or related; some roles prefer experience in data analysis
Work EnvironmentResearch labs, experimental projects, innovative tech developmentData analysis, modeling, business insights, cross-functional teams
Employer & Industry UsagePrimarily tech companies, research institutions, academiaTech companies, finance, healthcare, consulting
Common Search & ComparisonYesYes

Facebook Research focuses on experimental and innovative research projects, often requiring advanced degrees and research experience. Data Scientists analyze data to generate insights, support decision-making, and build models. While both roles involve data and technical skills, Facebook Research emphasizes research and development, whereas Data Scientists focus on data analysis and application.

More about Facebook Research jobs
What job categories do people searching Facebook Research jobs look for? The top searched job categories for Facebook Research jobs are:
Facebook Research jobs near you
Infographic showing various Facebook Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 15% Part Time, 1% Temporary, and 9% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $68,041 per year, or $32.7 per hour.
AI Research Engineer

AI Research Engineer

Meta

Bellevue, WA

$183K/yr

Full-time

Re-posted 24 days ago

Job description

We’re hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You’ll be embedded directly in Facebook’s ecosystem, helping reimagine core experiences and reshape how people discover content, connect with creators, and interact with each other.The work spans some of the most bold bets in applied GenAI, including:- Building the post-training, evaluation, and serving systems that turn frontier LLMs into reliable, high-quality product experiences used by billions.- Building a general-purpose agentic platform that powers a wide range of GenAI products across Facebook —enabling teams to ship faster, safer, and at scale.- Building systems that enable capacity and cost optimizations through model fine-tuning, post-training and other techniques. - Adapting and scaling these systems across Meta’s products. Why Join Us- Product LLM work at singular scale Your post-training decisions, evaluation frameworks, and serving architecture directly affect billions of daily interactions.- End-to-end ownership We don't hand off models to a separate product team. We own the loop from training data to production behavior to measurement. The impact of your work shows up in days, not quarters.- The problems are unsolved How do you evaluate open-ended conversational AI at scale? How do you fine-tune for groundedness across millions of varied creator profiles? These aren't incremental improvements, they're open research questions with immediate product consequences.- Our team is hands-on, with high autonomy, working on critical bets We're deliberately keeping this team lean and experienced. You'll have outsized influence on technical direction, not just execution.Depending on your interests and strengths, your work could span post-training pipelines (SFT, RLHF, synthetic data generation), evaluation methodology (auto-judge design, benchmark construction, human-AI calibration), production serving systems (RAG, memory, multi-modal generation), multi-agent orchestration, or E2E experience of building agentic products, - all grounded in shipping to real users at scale
AI Research Engineer Responsibilities:
  • Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
  • Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
  • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta’s product development

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience as a formal technical lead, leading major technical initiatives with XFN impact, and/or influencing strategy across multiple teams
  • Impressive engineering background (PhD in ML not required)
  • Experience working in AI/ML environments
  • Can manage data pipelines and versioning

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Apply