Research Scientist Intern, Code LLM & Agents (PhD)

Descripción del puesto:

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, agentic modeling, code generation, compilers, programming languages, natural language processing, machine learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. We offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

Research Scientist Intern, Code LLM & Agents (PhD) Responsibilities

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Perform research to advance the science and technology of intelligent machines.

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Develop novel methods and systems to advance the state of the art in agentic models.

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Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Minimum Qualifications

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Currently is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or relevant technical field

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Experience with agent modeling, reinforcement learning, code generation, computational world modeling, language modeling, planning, agentic scaffolds, memory systems, or related areas, as demonstrated by publications, coursework, blog posts, prior internships, and other relevant contributions

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Experience with Python and deep learning frameworks such as Pytorch or Tensorflow, as demonstrated by course projects, open source releases, or similar venues

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Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

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Intent to return to a degree program after the completion of the internship

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Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICCV, ECCV, ICLR, ICML, ACL, NAACL, EMNLP, or similar

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Experience with interpreting deep neural networks mechanistically, correlating their observable behavior with properties of model parameters and activations

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Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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Experience working and communicating cross functionally in a team environment

For those who live in or expect to work from California if hired for this position, please click here for additional information