Research Scientist Intern

4 weeks ago

Menlo Park, California, United States META Full time
Join Meta's Research Team

We are seeking a highly motivated Research Scientist Intern to join our GenAI research team at Meta. As a Research Scientist Intern, you will have the opportunity to work on cutting-edge projects in language and multimodal research, advancing 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 the efficiency, scalability, and stability of deployed algorithms
  • Conduct research to advance the science and technology of intelligent machines
  • Research and develop methods for learning the semantics of data (images, video, text, audio, and other modalities)
  • Collaborate with researchers and cross-functional partners to communicate research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development
Requirements
  • Currently pursuing or has 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 languages
  • Experience building systems based on machine learning and/or deep learning methods
Preferred Qualifications
  • Intent to return to degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, and publications at leading workshops or conferences
  • Experience working and communicating cross-functionally in a team environment
  • Experience advancing AI techniques in computer vision, including core 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 various sources
  • Experience utilizing theoretical and empirical research to solve problems
  • Experience with deep learning frameworks

At Meta, we are committed to advancing the field of Generative AI and making fundamental advances in technologies to help interact with our world and empower content creation. We offer a dynamic and collaborative work environment, with opportunities to make a meaningful impact in a fast-growing organization.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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