ASA AI Exploration Team – Research Scientist Intern (PhD) at Meta

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

12134.0

Posted On

28 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, C, Java, Deep Learning, Reinforcement Learning, Generative AI, LLM Post-Training, Speculative Decoding, Test-Time Scaling, Adaptive Compute, Algorithm Development, Scalability Analysis

Industry

Software Development

Description

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. 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 Minimum Qualifications 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 Preferred Qualifications 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 $7,650/month to $12,134/month + benefits

Responsibilities

Develop novel State-of-the-Art generative AI algorithms and systems utilizing deep learning techniques, while also analyzing and improving the efficiency, scalability, and stability of deployed algorithms. Responsibilities also include advancing intelligent machine science through research and enabling the training of generative models across various data modalities.