Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities:
- Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
- Work towards long-term ambitious research goals, while identifying intermediate milestones
- Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Mentor other team members. Play a significant role in healthy cross-functional collaboration
Minimum Qualifications:
- Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field
- First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR)
- Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
- Experience working with SOTA RL codebases and familiarity with one or more deep learning frameworks (e.g. pytorch, VERL, …)
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
- Interested in real-world code generation and AI for software engineering
- Enthusiastic about world models
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.
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.
