Genentech

Department Summary

Genentech, a biotechnology leader, seeks 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, focusing on foundational models, LLMs, and generative AI, particularly in the realms of Agentic AI, multi-modal settings, instructional tuning, and knowledge retrieval. We are committed to driving innovation through cutting-edge ML methods with real-world impact in drug discovery.

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

The Opportunity

• Research, design, and implement novel cutting-edge research in AI with applications to drug discovery.
• Drive research on (large-scale) generative AI methods for scientific challenges.
• 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 19 or June 2
• 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.

Who You Are (Required) 

Required Education: Must be pursuing a PhD (enrolled student).

Required Majors: Computer science, Stat, and EE with a core focus on machine learning, artificial intelligence, computational theory, or related.

Required Skills: 

• Enrolled in a PhD program where your core focus is on machine learning, artificial intelligence, computational theory, or a related field.
• Proven publication record in top ML conferences (e.g., NeurIPS, ICML, ICLR).
• Strong expertise in Generative AI and LLMs.
• Advanced programming skills in frameworks such as PyTorch, TensorFlow, or JAX.
• Excellent communication and teamwork skills.

Preferred Knowledge, Skills, and Qualifications

• Familiarity with AI agents, fine-tuning methods (e.g., SFT, RLHF, RL with experimental feedback), prompt engineering, and LLM calibration techniques.
• Familiarity with ML topics such as uncertainty quantification, conformal prediction, or offline RL.
• Experience in developing and applying Generative models for scientific applications.
• Knowledge of biological domains such as sequence design, perturbation biology, or target discovery.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of California is $45-$50 hourly. 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.