Research Scientist Intern, GenAI Computer Vision Algorithms (PhD)

Meta - Menlo Park, CA

Full-time - Intern

Menlo Park, CA

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

The Research Scientist Intern in Generative AI Computer Vision Algorithms at Meta is responsible for developing state-of-the-art computer vision algorithms and systems using deep learning techniques. This role involves conducting research to advance intelligent machine technologies, improving algorithm efficiency, and collaborating with cross-functional teams to communicate research findings. Interns will have the opportunity to publish their research and contribute to Meta's product development, making a significant impact in the field of Generative AI.

Responsibilities

• Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
• Analyze and improve efficiency, scalability, and stability of deployed algorithms based on the project.
• Conduct research to advance the science and technology of intelligent machines.
• Enable learning the semantics of data across various modalities including images, video, text, and audio.
• Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
• Publish research results and contribute to research applicable to Meta product development.

Requirements

• Currently has or is in the process of obtaining a Ph.D. degree in NLP, Artificial Intelligence, or a relevant technical field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience with Python or other related programming languages.
• Experience building systems based on machine learning and/or deep learning methods.

Nice-to-haves

• Intent to return to degree program after the completion of the internship/co-op.
• Proven track record of achieving significant results demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conferences.
• Experience working and communicating cross-functionally in a team environment.
• Experience in advancing AI techniques in computer vision, including contributions to open source libraries and frameworks.
• 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.

Benefits

• $7,500/month to $11,333/month compensation based on skills and experience.
• Comprehensive benefits package including health insurance, paid holidays, and professional development opportunities.