2026 Summer Research Intern, LLM and Generative AI - BRAID

Roche • San Francisco, CA

1d • $50 - $50 • Onsite

About The Position

2026 Summer Research Intern, LLM and Generative AI - BRAID 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) and Regulatory Language Understanding (ReLU) labs within the Biology Research | AI Development (BRAID) department in the Computational Sciences Center of Excellence (CS-CoE). Our labs are 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 genomics research and drug discovery. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. This internship position is located in South San Francisco, on-site. Position Overview: Join us for a 12-week summer internship (full-time, 40 hours per week) in 2026 at our South San Francisco location (on-site). The start date can be May 18 or June 1, offering an exciting opportunity to work alongside our collaborative research team of machine learning scientists, computational biologists, and chemists, and make a substantial contribution to the field. 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-weeks, full-time (40 hours per week) paid internship. Program start dates are in May 18 or Jun 1, 2026 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.

Requirements

• Must be pursuing a PhD (enrolled student).
• Computer Science, Electrical Engineering, Statistics, Computational Biology or a closely related field with a core academic focus on machine learning, artificial intelligence and computational theory.
• 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.

Nice To Haves

• Familiarity with AI agents, fine-tuning methods (e.g., SFT, RLHF, RL with experimental feedback), prompt engineering, PRM, 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees