FAIR Research Lead for Reinforcement Learning for Design & Engineering Tasks
Role summary
Meta's FAIR lab is seeking an IC7 Research Engineer to lead a new project focused on training LLMs for design and engineering tasks using simulation and reinforcement learning. This role requires strong machine learning engineering and research skills, proficiency in Python and ML frameworks like PyTorch, and experience with software engineering practices. The ideal candidate will demonstrate technical leadership, the ability to work independently on complex ML challenges, and adapt to shifting priorities. Preferred qualifications include a PhD, a publication record in top ML conferences, and domain expertise in design or engineering problems.
Meta's Fundamental AI Research lab (FAIR) is seeking an IC7 Research Engineer to lead a new exploratory research project to train LLMs to perform hard design and engineering tasks. As project lead, you will work with other researchers to build a research agenda around simulation and reinforcement learning from verifiable rewards (RLVR). This project may also involve the development of new pretraining and mid-training recipes. You'll work alongside experienced researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments. This is a technical leadership role requiring research engineering skills and the ability to work under your own initiative on a variety of open-ended machine learning challenges with high reliability. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be experienced in making decisions within a group environment and adaptive, tackling a wide variety of problems. If you are interested in exploring about defining the capabilities that drive AI progress and thrive in deadline-focused, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
### FAIR Research Lead for Reinforcement Learning for Design & Engineering Tasks Responsibilities:
- Demonstrate research and technical leadership in the context of exploratory research
- Build robust, reinforcement learning training pipelines that scale across multiple and complex end tasks
- Integrate, develop, and implement simulation environments for design and engineering tasks of interest
### Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 10+ years of experience in machine learning engineering, machine learning research, or a related technical role
- Proficiency in Python and experience with ML frameworks such as PyTorch
- Experience identifying, designing and completing medium to large technical features independently, without guidance
- Software engineering practices including version control, testing, and code review practices
- Demonstrated experience of working independently and adapting to rapidly changing priorities
### Preferred Qualifications:
- PhD degree in Computer Science, AI or relevant technical field
- A track record of high-quality research publications to top-tier ML conferences (ICLR, NeurIPS, etc)
- Previous technical leadership of exploratory research projects
- Domain expertise in hard design or engineering problems
### 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.
$219,000/year to $301,000/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.