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Senior Scientist, Artificial Intelligence/Machine Learning, Foundational ML (gCS, BRAID)
Genentech - South San Francisco, CA
posted 2 months ago
About the position
Genentech is seeking a highly motivated Senior AI Scientist to join the Deep Learning Theory and Algorithms (DELTA) lab within the BRAID department. This role focuses on advancing deep learning research to support drug and target discovery efforts, particularly through the development of large-scale foundation models in research biology. The position involves leading a research program that innovates foundational deep-learning methods with real-world applications in drug discovery, collaborating with a multidisciplinary team of AI scientists, ML engineers, computational biologists, and biological chemists.
Responsibilities
- Lead and execute a research program developing novel foundational deep-learning methods for drug discovery.
- Drive research on foundational AI methods for scientific problems, focusing on foundation models and large-scale representation learning.
- Scale ML models to large biological datasets, addressing deep learning and engineering challenges.
- Publish research findings in top-tier ML venues and scientific journals, and present results at conferences and workshops.
- Collaborate closely with interdisciplinary and cross-functional teams across gRED.
Requirements
- PhD or equivalent experience in machine learning or a related technical field.
- Excellent knowledge of deep learning theory and practice, demonstrated through past projects or publications.
- Strong publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, AISTATS.
- Proficient in Python and PyTorch, with extensive knowledge of software engineering, data engineering, and MLOps.
- Strong communication and collaboration skills.
Nice-to-haves
- Experience in developing and applying deep representation learning methods across different data modalities and at scale.
- Interest in biochemical drug discovery.
Benefits
- Discretionary annual bonus based on individual and company performance.
- Comprehensive health benefits.
- Retirement savings plan options.
- Paid time off and holidays.
