2026 Summer Intern - gCS AIDD at Roche in South San Francisco

Summary: Roche is seeking exceptional graduate interns with strong research experience in machine learning to join their Prescient Design team. This internship focuses on applying advanced algorithms to scientific discovery, particularly in the area of Reinforcement Learning from Human Feedback for molecular generation. Responsibilities: - Participate in cutting-edge research in ML, 3D generative models, and applications to drug discovery - Collaborate with cross-functional teams to deliver an impactful, business-critical project - Develop well-documented code to facilitate adoption of the method - Present results in the form of a publication, for submission to internal and external scientific conferences Required Qualifications: - Current Ph.D. student in Computer Science, Engineering, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry, Physics, or related technical field - Strong publication record or evidence of impactful research contributions (e.g., NeurIPS, ICML, ICLR, AISTATS, TMLR, CVPR, ICCV/ECCV) - Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX) - Experience in at least one of the following areas: Reinforcement learning or preference learning, Generative modeling (e.g., diffusion models, autoregressive models), Graph neural networks or molecular representation learning Preferred Qualifications: - Experience with RLHF methods (e.g., DPO, PPO-RLHF, reward modeling) - Familiarity with molecular modeling, cheminformatics, or drug discovery applications - Contributions to open-source ML frameworks or reproducible research environments - Excellent communication, collaboration, and interdisciplinary working skills Required Skills: Python, PyTorch, TensorFlow, JAX, Reinforcement learning, Preference learning, Generative modeling, Diffusion models, Autoregressive models, Graph neural networks, Molecular representation learning, RLHF methods, Molecular modeling, Cheminformatics, Drug discovery, Interdisciplinary working Internship Start Date: Start in 2026 Summer Benefits: Paid holiday time off benefits