Research Scientist Intern, Language and Multimodal Research (PhD)

Position Overview

Meta is seeking Research Interns to join our Meta Superintelligence Lab in the post-training modeling team across language, and multimodal. 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 generative modeling, deep learning, computer vision, natural language processing, machine learning, and reinforcement learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. 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 state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.
• Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
• Perform research to advance the science and technology of intelligent machines.
• Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Disseminate research results.
• When applicable, contribute to research that can be applied to Meta product development.

Requirements & Skills

Minimum Qualifications:

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or relevant technical field
• Experience with Python, C++, C, Java or other 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 as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, IC