Archived listing. The details below describe a past opening.
Summary:
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.
Required Skills:
Research Scientist Intern, LLM Memory and Skills (PhD) 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:
Minimum Qualifications:
- 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
- 3+ years experience with deep learning software libraries such as PyTorch/JAX
- Experience with scripting languages such as Python and shell scripts
Preferred Qualifications:
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
Public Compensation:
$7,650/month to $12,667/month + 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 accommodations-ext@meta.com.