Foundation Models ML Scientist for Drug Discovery AI

Genentech; South San Francisco (CA); On-site; USD 147,600 - 274,000; Full time

Job summary

Genentech is seeking a Machine Learning Scientist in South San Francisco to revolutionize drug discovery using AI. In this role, you'll design and improve large-scale machine learning systems, translate biological knowledge into ML objectives, and work with researchers to transition prototypes into production. Required qualifications include a BS/MS in a quantitative field with relevant experience. Competitive salary range is $147,600 - $274,000 based on experience, along with potential bonuses and comprehensive benefits.

Qualifications

• 2+ years of relevant work experience or Ph.D. with 0-2 years.
• Strong publication record at top-tier venues like NeurIPS or ICML.
• Experience developing and training large-scale machine learning models.

Responsibilities

• Design, implement, and improve large-scale distributed machine learning systems.
• Develop and execute strategies for improving model performance on scientific tasks.
• Collaborate with researchers to translate ideas into scalable systems.

Skills

Large-scale machine learning model development

Software engineering

High-performance computing systems

Bioscience knowledge translation

Education

BS/MS in Computer Science, Statistics, Mathematics, Physics or related field

Ph.D. in relevant field

Tools

Machine Learning libraries

Job description

Genentech is seeking a Machine Learning Scientist in South San Francisco to revolutionize drug discovery using AI. In this role, you'll design and improve large-scale machine learning systems, translate biological knowledge into ML objectives, and work with researchers to transition prototypes into production. Required qualifications include a BS/MS in a quantitative field with relevant experience. Competitive salary range is $147,600 - $274,000 based on experience, along with potential bonuses and comprehensive benefits.