Research Scientist Intern, LLM Memory and Skills (PhD)

Research Scientist Intern, LLM Memory and Skills (PhD)

Bellevue, WA +2 locations

Artificial Intelligence

• 5 more

Apply now

Meta's mission is to give people the power to build community and bring the world closer together, and the ATA organization focuses on delivering this vision through AI.

Meta's Memory team within the ATA organization is seeking a Research Scientist Intern with a focus on LLM memory. As a Research Scientist Intern, your primary objective is to develop cutting-edge memory algorithms and production-ready memory systems for large language models (LLMs). We are seeking candidates to work on fundamental improvements to LLM memory, with a strong focus on scalability for deployment at Meta scale. Our internships are twelve (12) to twenty-four (24) weeks long and we offer various start dates throughout the year.

Responsibilities

• Perform research on LLM memory that leads to deployment at meta scale and potentially publications in top-tier NLP/ML conferences
• Develop new methods for long-term memory in LLMs and LLM agents, such as memory formation, retrieval, consolidation, and forgetting
• Build production-ready memory systems that scale to large numbers of users and large volumes of data, with low latency and low cost
• Design benchmarks and evaluation methods that measure memory quality, such as recall accuracy, relevance, freshness, and personalization
• Design benchmarks and evaluation methods that measure system performance, such as latency, throughput, and cost
• Collaborate with cross-disciplinary research and engineering teams to bring research into products

Minimum Qualifications

• Currently is in the process of obtaining a PhD in the field of Artificial Intelligence or related field
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Hands-on experience with LLMs, such as pretraining, fine-tuning, post-training, retrieval-augmented generation (RAG), benchmarks or agentic workflows
• Solid understanding of transformer architectures and modern deep learning techniques
• 3+ years experience with deep learning software libraries such as PyTorch/JAX
• Experience with scripting languages such as Python and shell scripts

Preferred Qualifications

• Intent to return to degree-program after the completion of the internship
• Research experience in one or more of these areas: long-term memory for LLMs or agents, RAG, knowledge editing, long-context modeling, or personalization
• Experience with building and deploying machine learning systems in production
• Experience with large-scale distributed systems for LLM training, inference, or retrieval
• Experience with building evaluation frameworks or benchmarks for LLMs
• Proven track record of publications at ML/NLP conferences/journals such as NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, COLM, AAAI
• Interpersonal experience: cross-group and cross-culture collaboration

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.

Apply for this job Take the first step toward a rewarding career at Meta.

Apply now

APPLY NOW

Find your role

Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.

View jobs

Meta AI

Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process. Learn more about AI usage and settings.

Sign up

to ask follow-up questions