1 day 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 establish methods for measuring AI quality.
- Partner with product managers and scientists to understand needs, define requirements, and produce technical specifications.
- Develop 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, and development-process improvements.
- Collaborate across the stack with computational scientists, research scientists, AI/ML experts, product leaders, and DevOps teams.
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.
- Proven understanding and application of engineering best practices.
- Excellent communication skills and ability to build trusted partnerships.
- Preferred: experience with biological or multimodal data, scientific processes, research environments, workflow automation, GenAI, or agents.
Benefits
- Expected base salary is $147,600 to $274,000 per year, with a discretionary annual bonus potentially available based on individual and company performance.
- Onsite presence at the South San Francisco campus is expected at least three days per week.
- Relocation assistance is not available.
- Benefits are provided through Genentech's stated benefits program.
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.