ML Scientist: Scalable Reasoning for Drug Discovery

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

Benefits offered by this job

Competitive salary

Discretionary annual bonus

Health benefits

Job summary

A leading biotech company in South San Francisco is seeking a Machine Learning Scientist to drive innovations in drug discovery using AI techniques. You will design and optimize large-scale machine learning systems and collaborate with researchers to create scalable, production-ready solutions. Ideal candidates will have experience in developing large-scale ML models, a solid publication record, and a strong background in software engineering. This position offers competitive compensation and benefits, including potential bonuses.

Qualifications

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

Responsibilities

• Design and implement large-scale distributed machine learning systems.
• Develop strategies for improving performance on scientific tasks.
• Collaborate with researchers to produce scalable systems.

Skills

Large-scale machine learning models

Software engineering

High-performance computing

Biological and chemical domain knowledge

Education

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

Ph.D. in relevant field

Job description

A leading biotech company in South San Francisco is seeking a Machine Learning Scientist to drive innovations in drug discovery using AI techniques. You will design and optimize large-scale machine learning systems and collaborate with researchers to create scalable, production-ready solutions. Ideal candidates will have experience in developing large-scale ML models, a solid publication record, and a strong background in software engineering. This position offers competitive compensation and benefits, including potential bonuses.