AI Research Engineer
- Pay
- $183,997 – $257,000 per year
- Location
- Bellevue, WA · On-site
- Job type
- Full-time
- Level
- Senior
- Education
- Bachelor's degree
- Listed
- 29 days ago
Skills & highlights for this role
- LLM post-training
- model serving
- evaluation frameworks
Also useful
- agentic systems
Stated benefits & perks
- Health
About the role
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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.
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
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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
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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $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.
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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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Take the first step toward a rewarding career at Meta.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the AI Research Engineer role at Meta?
The AI Research Engineer posting at Meta states compensation of $183,997 – $257,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Meta's official career site.
Where is the AI Research Engineer job at Meta located?
This AI Research Engineer position at Meta is located in Bellevue, WA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Research Engineer at Meta?
For the AI Research Engineer role, Meta highlights a bachelor's degree; experience with LLM post-training, model serving, evaluation frameworks. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Research Engineer position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.