Research Scientist, AI, Formal and informal Reasoning
Meta · Paris, Île-de-France, France
- On site
- Full-time
- $180,000 / year
- Paris, Île-de-France, France
Job highlights
- Advance LLM reasoning with RL and synthetic data.
- Focus on formal and informal mathematical reasoning.
- Collaborate with interdisciplinary research teams.
- Contribute to publications and open-source projects.
- Requires PhD and AI research publication record.
About the role
Research Scientist, AI, Formal and informal Reasoning
Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in LLMs reasoning, using reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques, partially with a focus on formal and informal maths. 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, important resources, and research facilities.
Responsibilities:
- Lead, collaborate, and execute on research that pushes forward the state of the art in reasoning research, with an initial focus on formal and informal mathematical reasoning.
- Work towards long-term high-stakes research goals, while identifying intermediate milestones.
- Directly contribute to experiments, including designing experimental details, implementing reusable code, running evaluations, and organizing results.
- Contribute to publications and open-sourcing efforts.
- Mentor other team members and play a significant role in healthy cross-functional collaboration.
Minimum Qualifications:
- Holds a PhD in the field of Computer Science, Mathematics, or similar quantitative field.
- Experience training and evaluating large models on State-of-the-Art codebases and developing new architectures, losses, and training recipes.
- 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 Reinforcement Learning codebases and familiarity with one or more Machine 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:
- Familiarity with the Lean 4 language and ecosystem and mathematical expertise.
- Experience with communicating complex research for public audiences of peers.
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.
Key skills/competency
- Research Scientist
- AI
- Formal Reasoning
- Informal Reasoning
- LLMs
- Reinforcement Learning
- Synthetic Data Generation
- Agentic Techniques
- Mathematical Reasoning
- Foundation Models
Skills & topics
- Research Scientist
- AI
- Artificial Intelligence
- LLM
- Large Language Models
- Reasoning
- Formal Reasoning
- Informal Reasoning
- Reinforcement Learning
- RL
- Synthetic Data
- Agentic Techniques
- Foundation Models
- Machine Learning
- ML
- Computer Science
- Mathematics
- PhD
- Meta
- FAIR
- PyTorch
- VERL
How to get hired
- Tailor your resume: Highlight PhD research, AI conference publications, and experience with LLMs, reinforcement learning, and mathematical reasoning.
- Showcase expertise: Emphasize first-author publications at top AI conferences like NeurIPS, ICML, or ICLR.
- Demonstrate technical skills: Detail experience with SOTA RL codebases, ML frameworks (PyTorch, VERL), and foundation model fine-tuning.
- Prepare for interviews: Be ready to discuss your research, experimental design, and contributions to collaborative projects.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI research areas is Meta focusing on for this Research Scientist role?
- This Research Scientist role at Meta is focused on advancing LLM reasoning capabilities. Key areas include reinforcement learning, synthetic data generation, agentic techniques, and specifically formal and informal mathematical reasoning.
- What are the minimum educational and publication requirements for the Research Scientist, AI, Formal and informal Reasoning position at Meta?
- The minimum requirement is a PhD in Computer Science, Mathematics, or a similar quantitative field, along with a track record of first-author publications at peer-reviewed AI conferences such as NeurIPS, ICML, or ICLR.
- What kind of collaboration and team environment can I expect as a Research Scientist at Meta?
- You can expect to work within a broad and highly interdisciplinary team of scientists and engineers. The role emphasizes collaboration, mentoring, and contributing to healthy cross-functional teamwork.
- Does Meta offer resources and technology for its AI Research Scientists?
- Yes, Meta provides access to cutting-edge technology, important research resources, and research facilities to support their AI research endeavors.
- What are the preferred qualifications for this AI Research Scientist position at Meta?
- Preferred qualifications include familiarity with the Lean 4 language and ecosystem, mathematical expertise, and experience in communicating complex research to diverse audiences of peers.
- What is the role of reinforcement learning in this Research Scientist position at Meta?
- Reinforcement learning is a key technique mentioned for making significant advances in LLM reasoning. Experience with SOTA Reinforcement Learning codebases is a minimum qualification for this role.
- Is work authorization a requirement for this Research Scientist role at Meta?
- Yes, candidates must obtain and maintain work authorization in the country of employment at the time of hire and throughout their employment.