ASA AI Exploration Team – Research Scientist Intern (PhD)
About The Position
Meta is seeking Research Interns to join our AI Solutions and Automation (ASA) Team. The ASA AI Exploration Team is a dynamic, applied research group focused on rapid exploration, post-training, and deployment of SOTA GenAI techniques. We are seeking individuals passionate in areas such as post-training particularly LLM post-training using reinforcement learning and reasoning, Agent post-training and long-horizon alignment, speculative decoding, Test-time scaling and adaptive compute. Our interns have an opportunity to work on high-impact projects, contribute to the team’s culture, and help shape the future of AI at Meta. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Requirements
- Currently pursuing a Ph.D. in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field
- Experience with Python, C++, C, Java, or related languages
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience building systems based on machine learning and/or deep learning methods
Nice To Haves
- Intent to return to the degree program after the completion of the internship/co-op
- Proven track record of achieving significant results (grants, fellowships, patents, first-authored publications at leading workshops/conferences: NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, etc.)
- Experience working and communicating cross-functionally in a team environment
- Experience advancing AI techniques, including contributions to open source libraries/frameworks in computer vision or related fields
- Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
- Experience solving analytical problems using quantitative approaches
- Experience setting up ML experiments and analyzing their results
- Experience manipulating and analyzing complex, large-scale, high-dimensionality data from varying sources
- Experience utilizing theoretical and empirical research to solve problems
- Experience with deep learning frameworks
Responsibilities
- Develop novel SOTA generative AI algorithms and systems, leveraging deep learning techniques
- Analyze and improve efficiency, scalability, and stability of deployed algorithms
- Advance the science and technology of intelligent machines through research
- Enable learning the semantics and training generative models of data (images, video, 3D, text, audio, and other modalities)
- Disseminate research results and publish in top tier conference
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
