Research Scientist Intern, FAIR – Multi-Agent Systems and Memory (PhD)

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Research Scientist Intern, FAIR – Multi-Agent Systems and Memory (PhD)

Research Scientist Intern, FAIR – Multi-Agent Systems and Memory (PhD)

Bellevue, WA +2 locations

Research

+ 1 more

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Meta is seeking Research Interns to join our Fundamental AI Research (FAIR) Communication & Language teams working on multi-agent systems and memory. These teams are committed to advancing artificial intelligence through fundamental breakthroughs that enable agents to reason, learn from experience, and collaborate on complex tasks.

We are looking for individuals passionate about large language models, agentic systems, machine learning, and reinforcement learning. Our interns have the opportunity to make core algorithmic advances and evaluate their ideas at scale.

This internship will investigate how AI agents can retain and use knowledge across extended interactions, share information effectively, and adapt their workflows based on experience. Our research connects memory and multi-agent collaboration with self-improving systems for automated scientific research.

Potential directions include developing compact memory representations, improving inter-agent communication and coordination, and automatically optimizing agent harnesses. The specific research question will be shaped by the intern's interests and early experimental findings.

We are especially interested in candidates with expertise in one or more of the following areas:

Multi-agent systems, collaboration, coordination, communication, and shared knowledge

Agentic memory, long-term memory, implicit or parametric memory, and memory retrieval and utilization

Long-context modeling, context compression and compaction, and KV-cache compression

Self-improving agents, adaptive agent workflows, agent harness optimization, and test-time learning and adaptation

Reasoning, planning, tool use, reinforcement learning, and automated scientific research

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.meta.com/research/ .

Research Scientist Intern, FAIR – Multi-Agent Systems and Memory (PhD) Responsibilities

• Conduct fundamental research on memory and multi-agent collaboration to improve AI agents on complex, long-running tasks.
• Brainstorm with research mentors, review relevant literature and existing systems, and formulate focused research questions.
• Develop novel algorithms and architectures for retaining and retrieving context, sharing knowledge across agents, or adapting agent workflows based on experience.
• Implement prototypes and conduct rigorous experiments on automated research and related agentic benchmarks, comparing against strong baselines.
• Analyze agent trajectories and failure modes to assess memory utilization, coordination, task performance, computational cost, and generalization.
• Draft research reports and/or publications and present research outcomes to internal and/or external audiences.
• Contribute research that can be applied to Meta product development.

Minimum Qualifications

• Currently has or is in the process of obtaining a PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field
• Research and/or work experience in large language models, machine learning, deep learning, reinforcement learning, or related areas
• Experience in Python, C++, or other related languages
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

• Proven track record of achieving significant research results, as demonstrated by grants, fellowships, patents, or publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM, AAAI, or IJCAI
• Research experience in agent memory, context compression, multi-agent systems, agent orchestration, self-improvement, or automated scientific research
• Experience building and evaluating language-model agents, including tool use, memory mechanisms, or collaborative workflows
• Experience with deep learning frameworks, such as PyTorch, and implementing research prototypes
• contributions to open source libraries and frameworks are welcome
• Experience designing controlled experiments, analyzing agent trajectories or large-scale experimental results, and using theoretical and empirical research to solve problems
• Experience working and communicating cross functionally in a team environment
• Intent to return to degree-program after the completion of the internship/co-op

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: $7,650/month to $12,667/month + 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.

Equal Employment Opportunity

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 .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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