Principal Machine Learning Engineer, Infrastructure

2 days ago


South San Francisco, California, United States Genentech Full time

We are seeking a Principal Machine Learning Engineer, Infrastructure to join our team at Genentech Computational Sciences (gCS) Prescient Design. This role will involve designing, constructing, and optimizing large-scale distributed systems, with a particular emphasis on machine learning infrastructure.

The successful candidate will have strong skills and hands-on experience in designing and implementing large-scale machine learning models and infrastructure. They will also have demonstrated success in technical leadership for teams of engineers and practical hands-on experience with PyTorch in a production environment.

As a Principal Machine Learning Engineer, Infrastructure, 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. You will also 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.

Qualifications include a MS 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 learning, and excellent programming skills.

Relocation benefits are available for this opportunity.

Genentech is an equal opportunity employer and 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.



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