Applied Research Scientist
- Location
- Bellevue, WA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 3+ years
- Education
- Doctorate
- Listed
- 14 days ago
Skills & highlights for this role
- research methodology
- reinforcement learning
- evaluation and benchmark design
- experimental design
- building reliable technical systems
Also useful
- large language models
- RL environment design
- data curation pipelines
- collaboration across research and engineering
About the role
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- Applied Research Scientist
- Applied Research Scientist
- Bellevue, WA +4 locations
- Artificial Intelligence
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This role is within the Agent Data and Optimization team. The team is the Applied AI org’s data and research environment engine: we turn world-class technical expertise into the training data, reinforcement learning (RL) environments, evaluations, and feedback loops that make Meta’s models and the products built on them the best in the world. Our research and agentic work directly improves Muse family of models and powers products such as Muse Code and the Muse assistant. This unique data and research infrastructure is a key differentiator for Meta, complementing our investments in compute and model architecture.
Why this is exciting: You’ll work directly on frontier AI models, not adjacent to them. We’re a significant, well-funded organization with the ethos of an AI startup: new, highly entrepreneurial, flexible, and already delivering measurable impact. Research and RL environments from our team went directly into the latest Muse release and helped the Muse family of models compete at the frontier.
As a Research Scientist, you’ll independently own ambitious applied research from question to measured result. You’ll identify capability gaps, formulate hypotheses, develop methods and benchmarks, build experimental environments and high-quality RL environments, and analyze agent behavior to distinguish genuine progress from shortcuts. The work centers on advancing AI through:
- Original research that develops agents’ ability to reason, experiment and solve complex technical problems.
- Evaluation and benchmarks that measure meaningful progress and generalization.
- High-quality RL environments grounded in expert knowledge.
Applied Research Scientist Responsibilities
- Identify capability gaps and formulate research questions that advance AI agents’ reasoning and problem-solving abilities.
- Develop research methods, benchmarks and experimental environments with reliable, reproducible measurements.
- Create and curate high-quality data, and build pipelines that support model training and evaluation.
- Analyze agent behavior and design feedback that rewards useful progress and tests generalization to new problems.
- Lead research from hypothesis through implementation and measured results, collaborating with Meta’s model development and research teams.
Minimum Qualifications
- A PhD in Computer Science, AI, relevant technical field, or equivalent practical experience
- 3+ Years Experience leading major research initiatives or influencing technical strategy across teams
- Demonstrated ability to build reliable technical systems and evaluate their results
- A strong track record of first-author publication on AI-related topics with experience presenting the work
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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Why Join Us
- Shape what frontier models can do
Your expertise helps identify the capabilities to develop and the evidence used to measure progress. Your work will directly improve the family of Muse models and push the boundaries of what frontier AI can do.
- Own the research from idea to results
Take a research question from definition through implementation, experiments and measured results. You’ll combine research judgment with hands-on engineering and help set the technical direction of your work.
- Work on open research questions
Investigate how agents learn from feedback, make progress across successive experiments and apply what they learn to new problems. Develop methods that can distinguish genuine improvement from errors and shortcuts.
- Collaborate across research and engineering
Work with other domain experts, engineers and researchers across Applied AI. Build on shared knowledge, challenge assumptions and turn promising ideas into reproducible methods and systems.
Depending on your interests and strengths, your work may focus on model learning, evaluation methods, research environments, or data and experimental infrastructure. The role combines deep technical judgment with implementing and testing ideas.
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: $154,003/year to $217,000/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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From Meta's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Applied Research Scientist job at Meta located?
This Applied Research Scientist 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 Applied Research Scientist at Meta?
For the Applied Research Scientist role, Meta highlights 3+ years of relevant experience; a doctorate; experience with research methodology, reinforcement learning, evaluation and benchmark design, experimental design, building reliable technical systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
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