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Research Scientist Intern Foundation Model Optimization PhD

  • Full Time Internship
  • Burlingame, CA
  • Applications have closed

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Responsibilities
Lead and contribute to cutting-edge foundation model research that leads to publications on top-tier CV/ML conferences
Define, plan and execute cutting-edge deep learning research to advance AR/VR experiences
Develop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution
Collaborate with other research scientists and software engineers to develop innovative deep learning techniques for vision, speech, user interface and other use-cases
Collaborate with software and hardware engineers to develop tradeoff curves for accuracy vs the runtime resources/constraints such as latency, energy
Communicate the experimental results and the recommendations clearly, both within the group as well as to the cross-functional groups
Minimum Qualifications

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering or related field
2+ years experience in developing machine learning solutions for problems
2+ years programming experience and experience with deep learning framework for prototyping ideas
1+ years experience in building deep learning models for mobile or ultra lower power systems
Interpersonal experience: cross-group and cross-culture collaboration
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
Intent to return to degree-program after the completion of the internship/co-op
Publication track record in machine learning conferences and/or journals
Experience in optimizing deep learning networks for execution constraints besides just the final accuracy
Background in computer vision, speech, natural language understanding, multi-modal AI, multi-sensor tracking/reconstruction, etc

About Meta
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