Research Scientist Intern, AI Applied Research - Machine Learning (PhD)

Research Scientist Intern, AI Applied Research - Machine Learning (PhD)
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San Francisco, CA
Meta AI is seeking Research Interns to join its AI for Product teams. These teams are a part of an AI Innovation Center for recommendations and collaborate closely with FAIR, other research teams (e.g. user understanding, core ML/ RL, etc.), as well as product teams for the Family of Apps (FB, IG, WhatsApp). When you join our team, you are working to advance the state of the art in core disciplines such as: retrieval, ranking, clustering, search, and multi-modal fusion problems, often in zero-shot/ few-shot settings, natural language understanding and generation, video understanding, as well as speech & audio processing. Together with product teams, we deploy these systems at scale to recommend the most relevant content to our users by improving existing approaches and incubating novel capabilities. The opportunities and challenges of this work are immense. Our work needs to demonstrate state of the art performance on shared tasks where available, while being applicable at Meta scale, so that we can serve our customers. Examples of our past work include sentiment analysis, temporal modeling in videos, improvements to masked auto-encoders in video and audio, etc., using both internal and external (public) data and tools. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit
Research Scientist Intern, AI Applied Research - Machine Learning (PhD) Responsibilities
  • Apply cutting-edge algorithms to a wide range of media understanding challenges at Meta’s Family of Apps
  • Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
  • Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio)
  • Publish research results and contribute to research that can be applied to Meta product development
  • Collaborate with researchers and engineers across diverse disciplines
Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD degree in the field of Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Mathematics, or similar
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Experience with Python, C++, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
Preferred Qualifications
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
  • ML/ AI research and/ or work experience in information retrieval problems, generative approaches, and/ or Natural Language Processing, CV, or Speech/ Audio
  • Ability to communicate complex research in a clear, precise, and actionable manner
  • Experience creating and optimizing large-scale systems based on Machine Learning (Deep Learning) methods
  • Intent to return to a 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 publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience working and communicating cross functionally in a team environment
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
$7,650/month to $10,250/month + benefits

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