Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery

Overview A healthier future. It’s what drives us to innovate. At Roche’s AI for Drug Discovery (AIDD) group, we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED) and contribute to our internal reasoning large language models (LLMs) to succeed at relevant drug discovery tasks, including biomolecular design. Responsibilities Design, implement, and improve large‑scale distributed machine learning systems, writing robust, performance‑critical code and contributing to core infrastructure. Develop and execute strategies to systematically improve performance on scientific tasks, including long‑horizon task completion and complex reasoning challenges. Translate biological and chemical domain knowledge into concrete machine learning objectives, training signals, and evaluation criteria. Design and implement evaluation methodologies to assess model capabilities relevant to biological research, working with domain experts to establish benchmarks and curate high‑quality data. Collaborate closely with researchers to translate ideas and prototypes into scalable, production‑ready systems. Qualifications BS/MS in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with 2+ years of relevant work experience; OR Ph.D. with 0‑2 years of relevant work experience. Experience developing and training large‑scale machine learning models, including post‑training techniques to enhance domain knowledge, reasoning capabilities, and model alignment. A strong publication record at top‑tier venues (e.g., NeurIPS, ICLR, ICML). Strong software engineering skills and experience working with high‑performance computing systems. Preferred experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data). A public portfolio of research or significant contributions to open‑source ML libraries. A passion for applying frontier AI to drug discovery. Relocation benefits are NOT available for this posting. Benefits A discretionary annual bonus may be available based on individual and Company performance. The position also qualifies for the benefits detailed at the linked program. Equal Opportunity 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 in accordance 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 the Accommodations for Applicants form. #J-18808-Ljbffr F. Hoffmann-La Roche AG