Senior Machine Learning Scientist, BRAID (Foundational ML)

A healthier future. Its what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. Thats what makes us Roche.

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roches Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. 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.

The Opportunity

Genentech is seeking a highly motivated Senior AI Scientist to join the Deep Learning Theory and Algorithms (DELTA) lab within the BRAID (Biology Research | AI Development) department in Genentech Research and Early Development (gRED). Our lab is dedicated to advancing AI research to support drug discovery and target discovery efforts, with a focus on large-scale foundation models in research biology. We are committed to driving innovation through cutting-edge AI methods with real-world impact in the drug discovery field.

The successful candidate will contribute to a research program focused on AI foundation models, including LLMs and agents, with the ultimate aim of accelerating the drug discovery process. They will work at the intersection of AI research and engineering challenges to build the next generation of biomedical large-scale foundation models. They will contribute to developing cutting-edge AI methods, including multimodal generative modeling, large language models, and reinforcement learning techniques. Furthermore, they will contribute to system design, scaling, and optimization across the full model-development lifecycle.

Responsibilities

• Drive research on novel foundation models, with a specific focus on multimodal generative models, LLMs, AI Agents, and reinforcement learning.
• Lead the design and implementation of novel, cutting-edge ML methods with applications to drug discovery and target discovery.
• Work at the intersection of deep learning and engineering challenges, focusing on system design, architectural choices, and scalability, in collaboration with the MLOps team.
• Regularly publish in top-tier ML venues (e.g., NeurIPS, ICLR, ICML, AISTATS, etc.) and scientific journals, presenting results at internal and external scientific venues, conferences, and workshops.
• Collaborate closely with interdisciplinary and cross-functional teams across gRED.

Requirements

Relocation benefits are available for this job posting. The expected salary range for this position, based on the primary location of California, is $167,400 310,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.

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 companys 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.

#J-18808-Ljbffr