Principal Machine Learning Engineer, Infrastructure
3 weeks ago
The PositionThe PositionAt Genentech Computational Sciences (gCS) Prescient Design, we are at the forefront of employing machine learning to revolutionize drug discovery, adopting novel methods, techniques, and infrastructure to transform the field. Our Engineering team is seeking engineers with strong skills and hands-on experience in designing, constructing, and optimizing large-scale distributed systems, with a particular emphasis on machine learning infrastructure.We know engineering plays a key role in machine learning advances, and in particular effective ML infrastructure is the foundation for many groundbreaking developments. So we are looking for an engineer to take on a leading role in building out the systems used to develop our large language models and AI systems that form the backbone of our foundational research in machine learning for scientific discovery. By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success. The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) partners and research units.In this role, you will:Contribute to cutting-edge research in machine learning, including algorithm and method development, specifically applicable to drug discovery and large language models (LLMs).Develop and maintain robust tools for large-scale ML experiments, focusing on the deployment, optimization, and scalability of compute-intensive LLM training and lab-in-the-loop molecular design.Tackle crucial engineering challenges that involve the design, implementation, and scaling of dynamic, distributed, and high-performance machine learning systems such as models deployed as APIs, retrieval augmented generation (RAG) systems, search and advanced generative models of text, images, and structures, such as molecules.Engage in close collaboration with cross-functional teams across both Prescient Design, gCS, gRED, and global Roche to solve complex problems in the life sciences, including leveraging language models for scientific applications.QualificationsMS or PhD in Computer Science, Statistics, Machine learning or related field, or equivalent experience.6+ years of industry experience relating to distributed systems and machine learningProven expertise in designing and implementing large-scale machine learning models and infrastructure.Demonstrated success in technical leadership for teams of engineers.Practical hands-on experience with PyTorch in a production environment.Excellent programming skills.Familiarity with large language models (LLMs) and their training is highly desirable.A keen interest in molecular design, underpinned by a desire to contribute to both scientific and computational advancements in the field.#gCSRelocation benefits are available for this opportunityWho 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 either New York City, New York, or South San Francisco, California is $188,200- 349,400. 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 & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunities, visit our Genentech Careers page.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: 202308-119210Date posted : 2024-02-27Profession: Data Science & AI / MLEmployment type: Full time
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