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The Position

2026** **Summer** **Intern -** **BRAID DELTA Lab

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 and target discovery efforts, with a focus on foundation models and representation learning, 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, on-site.

The Opportunity

+ Drive research on foundational AI methods for scientific problems, with a specific focus on generative modeling, AI agents, and LLMs applied to biological reasoning and discovery.

+ Lead the design and implementation of novel, cutting-edge ML methods with applications to drug discovery and target discovery.

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

Program Highlights

+ **Intensive** **12-weeks** **, 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 with some of the most talented people in the biotechnology industry.

Who You Are

Required Education

Must be pursuing a PhD (enrolled student).

Required Majors

Computer Science, Computer Engineering, Computational Biology.

Required Skills:

+ Enrolled in a PhD program where your core focus is on machine learning, artificial intelligence, computational theory, or a related field.

+ Strong publication record at top-tier ML venues such as NeurIPS, ICML, ICLR, AISTATS, ACL, EMNLP, etc.

+ Excellent knowledge of the theory and practice of deep learning.

+ Familiarity with generative modeling methods, AI agents, and/or LLMs.

+ Excellent Python and PyTorch programming skills, with extensive knowledge of the best practices of software engineering, data engineering, and MLOps (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows).

Preferred Knowledge, Skills, and Qualifications

+ Excellent communication, collaboration, and interpersonal skills.

+ Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

+ Knowledge and experience with LLM reasoning, model post-training, and/or reinforcement learning.

+ Familiarity with biological applications such as sequence design, perturbation biology, and/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 $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.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants (https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE\_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform) .