Genentech
Senior Principal Machine Learning Engineer, Infrastructure (LLM)
Genentech, South San Francisco, California, us, 94083
The Position
Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters. The Position
At 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 a highly experienced 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 Senior Principal Machine Learning Engineer, Infrastructure (LLM), you will provide strategic direction, lead and oversee state of the art systems, drive cutting-edge research, develop innovative algorithms, mentor other engineers, 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 Opportunity, 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).
Architect, 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.
Cultivate and 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.
Who you are
MS or PhD in Computer Science, Statistics, Machine learning or related field, or equivalent experience.
10+ years of industry experience relating to distributed systems and machine learning
Proven expertise in designing and implementing large-scale machine learning models and infrastructure.
Demonstrated success in technical leadership and mentorship 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.
#gCS #tech4lifeAI Relocation benefits are available for this opportunity The expected salary range for this position based on the primary location of New York is $211,700- 393,100. 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. Benefits
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.
Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters. The Position
At 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 a highly experienced 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 Senior Principal Machine Learning Engineer, Infrastructure (LLM), you will provide strategic direction, lead and oversee state of the art systems, drive cutting-edge research, develop innovative algorithms, mentor other engineers, 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 Opportunity, 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).
Architect, 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.
Cultivate and 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.
Who you are
MS or PhD in Computer Science, Statistics, Machine learning or related field, or equivalent experience.
10+ years of industry experience relating to distributed systems and machine learning
Proven expertise in designing and implementing large-scale machine learning models and infrastructure.
Demonstrated success in technical leadership and mentorship 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.
#gCS #tech4lifeAI Relocation benefits are available for this opportunity The expected salary range for this position based on the primary location of New York is $211,700- 393,100. 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. Benefits
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.