The PositionThe OpportunityAt Genentech Computational Sciences (gCS) Prescient Design, we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking talented engineers with a passion for building large-scale, distributed machine learning algorithms and systems that will transform the drug discovery process.

gCS Prescient Design is seeking an exceptional Staff Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery. We are looking for someone who is not only passionate about technical problem-solving but also has a proven track record of delivering innovative solutions in machine learning. The ideal candidate should have extensive experience in leading and managing a team of engineers and scientists, and be able to foster a culture of innovation, collaboration, and excellence across the broader gCS organization.

The group provides a dynamic and challenging environment for multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal Genentech and Roche teams. In this role, you will:Participate in cutting-edge research in machine learning and methods development for scientific discovery, including large language models and drug discovery.Develop and deploy machine learning models in production environments, working closely with other engineers to ensure scalability and reliabilitySolve core engineering challenges including the design, implementation, and scaling of our machine learning algorithms.

Collaborate closely with cross-functional teams across both Prescient Design and gRED to solve complex problems in the life sciences.QualificationsMS or PhD in Computer Science, Statistics, related field or equivalent experience6+ years of industry experience in machine learningDemonstrated success in technical leadership and in managing teams of machine learning engineersExperience developing and deploying machine learning models in production environmentsStrong programming skills in Python or another relevant languageExperience with deep learning frameworks such as PyTorchAn extensive track record of delivering innovative solutions in machine learning Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadershipExperience collaborating with external scientific partners, such as academic institutions or industry research groupsA passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.We AreGenentech, a member of the Roche Group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases.

To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society.

We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We're focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.The expected salary range for this position based on the primary location of South San Francisco or New York City is $158,100 - 293,500 of hiring range.

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. This position also qualifies for the benefits detailed at the link provided below.

Genentech is an equal-opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status.Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us.

Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Job SummaryJob number: 202311-126662Date posted : 2023-12-13Profession: Data Science & AI/MLEmployment type: Full time.