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2024 Fall PhD Research Intern - Foundational ML and AI



29d ago

Applications are closed

  • Internship
    Off-cycle Internship
  • Research & Development
    Software Engineering
  • San Francisco


  • Who You Are:
  • Education: Must be pursuing a PhD (enrolled student) where your core focus is on machine learning, artificial intelligence, computational theory, or a related field.
  • Required majors: Computer Science; Computer Engineering; Machine Learning; Data Science; Computational Biology.
  • Strong publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, etc.
  • Excellent knowledge of the theory and practice of deep learning.
  • Familiarity with representation learning and/or generative methods.
  • Excellent programming skills in PyTorch.
  • Strong communication and collaboration skills.
  • Preferred Qualifications:
  • Experience in designing, training, extending, or applying foundation models and large-scale models.
  • Experience in developing and applying representation learning methods (e.g., generative, contrastive, graph-based, etc.).
  • Familiarity with biological problems such as single-cell biology, sequence design, perturbation biology, and/or target discovery, and related data types.


  • Research, design, and implement novel, cutting-edge research in ML with applications to drug discovery and target discovery.
  • Drive research on foundational AI methods for scientific problems, with a specific focus on foundation models and representation learning.
  • Collaborate closely with cross-functional teams across Genentech to tackle complex biological problems.
  • Contribute to and lead publications, presenting results at internal and external scientific conferences, and making code and workflows open source.

Science & Healthcare
Founded Year

Mission & Purpose

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