Principal Engineer

3 weeks ago


South San Francisco, California, United States Genentech Full time
About this Job

We are looking for a highly experienced Senior Principal Machine Learning Engineer to join our team at Genentech Computational Sciences (gCS) Prescient Design. As a key member of our Engineering team, you will play a vital role in designing, constructing, and optimizing large-scale distributed systems with a focus on machine learning infrastructure.

About the Role

You will have the opportunity to contribute to cutting-edge research in machine learning, including algorithm and method development, specifically applicable to drug discovery and large language models (LLMs). You will work closely with cross-functional teams across Prescient Design, gCS, gRED, and global Roche to solve complex problems in the life sciences, leveraging language models for scientific applications.

Key Responsibilities
  • Architect, develop, and maintain robust tools for large-scale ML experiments, focusing on deployment, optimization, and scalability of compute-intensive LLM training and lab-in-the-loop molecular design.
  • Tackle crucial engineering challenges involving 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 like molecules.
Requirements
  • 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.
Compensation and Benefits

We offer a competitive salary range of $211,700-393,100 based on the primary location of New York. 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 include comprehensive health insurance, 401(k) matching, and generous paid time off.



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