Research Scientist Intern, GenAI Safety (PhD)

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.

Meta is seeking Research Interns to join our Generative AI efforts. 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, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to 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.
Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project.
Perform research to advance the science and technology of intelligent machines.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Disseminate research results.
Publish research results and contribute to research that can be applied to Meta product development.

Qualifications

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Research experience in machine learning, deep learning, computer vision and/or natural language processing
Experience with Python, C++, C, Java or other related languages
Experience with deep learning frameworks such as Pytorch or Tensorflow Intent to return to the degree program after the completion of the internship/co-op
Direct experience in privacy/ safety related research
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, 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 ML experiments and analyzing their results
Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)