Senior Machine Learning Engineer, Prescient LLMs

Genentech - San Francisco, CA

Full-time - Senior

San Francisco, CA

Chemical Manufacturing

About the position

The Senior Machine Learning Engineer at Genentech's Computational Sciences (gCS) Prescient Design is responsible for developing and deploying large-scale machine learning algorithms and systems, particularly focusing on large language models (LLMs) for drug discovery and scientific applications. This role emphasizes innovation, collaboration, and excellence in a dynamic research environment, aiming to transform the drug discovery process through advanced machine learning techniques.

Responsibilities

• Participate in cutting-edge development of large language models for drug discovery and scientific applications.
• Develop and deploy machine learning models, especially LLMs, in production environments, ensuring scalability and reliability.
• Solve core research engineering challenges including the design, implementation, and scaling of machine learning algorithms.
• Collaborate closely with cross-functional teams across both Prescient Design and gRED to solve complex problems in the life sciences.

Requirements

• MS or PhD in Computer Science, Statistics, related field or equivalent experience.
• 4+ years of industry experience in machine learning.
• Experience developing and deploying LLMs in production environments.
• Strong programming skills in Python or another relevant language.
• Experience with deep learning frameworks such as PyTorch.
• Extensive understanding of general machine learning as well as LLMs.
• An extensive track record of delivering and serving innovative solutions in machine learning.

Nice-to-haves

• Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Experience collaborating with external scientific partners, such as academic institutions or industry research groups.
• A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.