2024 Summer Intern - PhD Research

Department Summary

Genentech, a leader in biotechnology, is seeking an outstanding machine learning intern to contribute to cutting-edge research at the Deep-Learning Theory and Algorithms (DELTA) lab within the Biology Research | AI Development (BRAID) department. Our lab is dedicated to advancing machine-learning research to support drug discovery efforts, with a focus on foundation models and generative AI, particularly in the realms of graphs, sequences, and multimodal data. We are committed to driving innovation through cutting-edge ML methods with real-world impact in the drug discovery field.

This internship position is located in South San Francisco, CA, on-site.

Key Responsibilities

• Research, design, and implement novel cutting-edge research in ML with applications to drug discovery.

• Drive research on (large-scale) generative AI methods for drug discovery.

• Collaborate closely with cross-functional teams across gRED to tackle complex problems.

• Contribute to and lead publications, presenting results at internal and external scientific conferences, and making code and workflows open source.

Program Highlights

• Intensive 12-week, full-time (40 hours per week) paid internship

• Program start dates are in May/June (Summer)

• A stipend, based on location, will be provided to help alleviate costs associated with the internship

• Ownership of challenging and impactful business-critical projects

• Work alongside our collaborative research team of machine learning scientists, computational biologists, and chemists, and make a substantial contribution to the field

Who You Are (Required)

Required education:

• Must be pursuing a PhD (enrolled student)

Required majors:

• Machine learning, artificial intelligence, computational theory, or a related field.

Required skills:

• Excellent knowledge of the theory and practice of ML

• Excellent programming skills in some common deep learning frameworks, such as PyTorch, JAX, or TensorFlow

• Strong communication and collaboration skills

Preferred Qualifications

• Strong publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, etc.

• Experience in developing and applying Generative models for scientific application.

• Familiarity with graph deep learning methods and libraries

• Familiarity with ML topics such as Active Learning, offline-based RL, and conformal prediction

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location for this position in California is $50.00 per hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.