2 days ago
Base Salary
$148k - $274k/yr
Responsibilities
- Design, develop, test, and maintain scalable AI/ML-facing scientific web applications and backend systems.
- Build tools to evaluate AI/ML model performance and develop methods for assessing AI quality.
- Partner with product managers and scientists to understand user needs and translate them into technical specifications.
- Develop and maintain systems for collecting, structuring, and storing scientific data for analytics and machine learning.
- Implement, adopt, and evaluate AI/ML algorithms and analytical techniques.
- Contribute to architecture decisions, code reviews, development processes, and cross-stack engineering work.
Requirements
- Strong proficiency with AI/ML frameworks, libraries, and toolsets.
- Expert knowledge of statistics, machine learning theory, and algorithms.
- Strong knowledge of ML performance optimization and GPU best practices.
- Experience with Kubernetes, relational databases, NoSQL databases, or data lakes.
- Experience with cloud-native architectures in public clouds, ideally AWS.
- Understanding and application of software engineering best practices.
- Strong communication, collaboration, partnership-building, and continuous-learning abilities.
Benefits
- Expected onsite presence at the South San Francisco campus at least three days per week.
- Relocation assistance is not available for this posting.
- Genentech provides equal-opportunity employment and reasonable accommodation support for applicants with disabilities.
Tech Stack
Categories
About Genentech
Genentech discovers, develops, and commercializes biologic therapies for serious diseases across oncology, immunology, neuroscience, ophthalmology, infectious disease, and metabolism. Founded in 1976 and headquartered in South San Francisco, it operates as a member of the Roche Group, with research centered in its gRED organization and revenue driven by prescription drug sales and collaborations.