AI Research Scientist, Multi-Agent Memory - FAIR, MSL

Summary:

Meta's Fundamental AI Research (FAIR) organization is seeking a Research Engineer to join the team working on multi-agent systems and memory. The role involves driving fundamental breakthroughs to enable agents to reason, learn from experience, and collaborate on complex tasks, contributing across the full spectrum of research, engineering, and deployment for both product and frontier model efforts.

Required Skills:

AI Research Scientist, Multi-Agent Memory - FAIR, MSL Responsibilities:

1. Design and execute large-scale research experiments to push the state-of-the-art in machine intelligence, language models, multi-agent communication, test-time scaling, and recursive self-improvement

2. Steer projects from early exploration through evaluation on benchmark datasets such as SWE-bench, RSI-Exam, and PaperBench

3. Directly contribute to experimental design, harness engineering, maintaining large codebases, running evaluations, and tracking end-to-end performance

4. Publish novel algorithmic techniques at top-tier venues, foster open joint experimentation, and mentor team members

5. Lead cross-functional research initiatives and establish solution recipes that bridge research clusters to production serving environments

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

3. A PhD degree in Computer Science, Mathematics, or a similar discipline

4. Proven track record of publications at top-tier AI and NLP conferences (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP)

5. Demonstrated experience with training, fine-tuning, and experimentation on language models and Transformers beyond black-box usage

6. Must be able to obtain work authorization in the country of employment

Preferred Qualifications:

Preferred Qualifications:

1. Experience working with deep learning frameworks, building research prototypes, and communicating cross-functionally in a team environment

2. Research experience in long-term memory, multi-agent systems, agent orchestration, self-improvement, or automated scientific research

3. Experience with large language model pre-training, fine-tuning, long-context modeling, context compression, or evaluation pipelines at scale

4. Experience building, evaluating, and designing controlled experiments for language-model agents, including tool use, memory mechanisms, or collaborative workflows

5. Proven track record of achieving significant research results, as demonstrated by publications at leading AI and NLP conferences

Public Compensation:

$154,000/year to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 [email protected].