Genentech-posted 7 months ago
$167,400 - $310,800/Yr
Full-time • Senior
South San Francisco, CA
Chemical Manufacturing

Genentech is seeking a highly motivated Senior AI Scientist to join the Deep Learning Theory and Algorithms (DELTA) lab within the BRAID (Biology Research | AI Development) department in Genentech Research and Early Development (gRED). Our lab is dedicated to advancing AI research to support drug discovery and target discovery efforts, with a focus on large-scale foundation models in research biology. We are committed to driving innovation through cutting-edge AI methods with real-world impact in the drug discovery field. The successful candidate will contribute to a research program focused on AI foundation models, including LLMs and agents, with the ultimate aim of accelerating the drug discovery process. They will work at the intersection of AI research and engineering challenges to build the next generation of biomedical large-scale foundation models. They will contribute to developing cutting-edge AI methods, including multimodal generative modeling, large language models, and reinforcement learning techniques. Furthermore, they will contribute to system design, scaling, and optimization across the full model-development lifecycle. The successful candidate will work in an exciting and multidisciplinary environment alongside AI scientists, ML engineers, and computational biologists.

  • Drive research on novel foundation models, with a specific focus on multimodal generative models, LLMs, AI Agents, and reinforcement learning.
  • Lead the design and implementation of novel, cutting-edge ML methods with applications to drug discovery and target discovery.
  • Work at the intersection of deep learning and engineering challenges, focusing on system design, architectural choices, and scalability, in collaboration with the MLOps team.
  • Regularly publish in top-tier ML venues (e.g., NeurIPS, ICLR, ICML, AISTATS, etc.) and scientific journals, presenting results at internal and external scientific venues, conferences, and workshops.
  • Collaborate closely with interdisciplinary and cross-functional teams across gRED.
  • Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field.
  • Excellent knowledge of the theory and practice of deep learning, as demonstrated in past projects and publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, AISTATS, ACL, EMNLP, etc.
  • Proven experience in developing and delivering innovative ML solutions, particularly in large-scale representation learning, multi-modal generative modeling, reinforcement learning, large language modeling, and AI agents.
  • Excellent Python and PyTorch programming skills, with extensive knowledge of software engineering, data engineering, and MLOps best practices.
  • Passionate about writing excellent software, system design, scaling, and optimization across the full model-development lifecycle.
  • Excellent communication, collaboration, and problem-solving skills.
  • Relocation benefits are available for this job posting.
  • Discretionary annual bonus based on individual and Company performance.
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