Research Scientist Intern, GenAI Safety (PhD)

Meta•San Francisco, CA

2d•$7,650 - $12,667

About The Position

Meta is seeking Research Interns to join its Generative AI efforts and advance artificial intelligence through fundamental research into technologies for interacting with and understanding the world. Interns develop algorithms and systems, make core algorithmic advances, and apply their ideas at scale. The internship lasts 12 to 24 weeks, with various start dates throughout the year.

Requirements

Currently have or be in the process of obtaining a Ph.D. in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or a relevant technical field.
Obtain work authorization in the country of employment by the time of hire and maintain work authorization throughout employment.
Have research experience in machine learning, deep learning, computer vision, and/or natural language processing.
Have experience with Python, C++, C, Java, or another related programming language.
Have experience with deep learning frameworks such as PyTorch or TensorFlow.

Nice To Haves

Intent to return to the degree program after completing the internship or co-op.
Direct experience in privacy- or safety-related research.
A track record of significant results demonstrated through grants, fellowships, patents, or first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, IEEE S&P, CCS, or similar.
Experience working and communicating cross-functionally in a team environment.
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 machine learning experiments and analyzing their results.
Experience manipulating and analyzing complex, large-scale, high-dimensional data from varying sources.
Demonstrated software engineering experience through an internship, work experience, coding competitions, or widely used open-source contributions.

Responsibilities

Develop novel, state-of-the-art generative AI algorithms and corresponding systems using deep learning techniques.
Help analyze and improve the safety and robustness of deployed algorithms, depending on the project.
Conduct research to advance the science and technology of intelligent machines.
Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
Disseminate research results.
Publish research results and contribute research that can be applied to Meta product development.