3 days ago
Base Salary
$168k - $312k/yr
Responsibilities
- Design, develop, test, and scale scientific web applications, backend systems, and cloud-native architectures for AI/ML workflows.
- Build AgentOps capabilities including evaluation frameworks, observability, secure execution environments, memory and retrieval systems, and model routing.
- Structure, validate, and standardize scientific datasets to improve reproducibility, traceability, and trustworthiness.
- Develop tools and metrics to evaluate AI/ML model performance and AI output quality.
- Partner with product managers, computational scientists, and research teams to translate scientific challenges into technical specifications.
- Implement and evaluate emerging AI/ML algorithms, analytical techniques, and GPU performance optimizations.
Requirements
- Bachelor’s degree and 5+ years of relevant experience, or a Master’s degree and 3+ years, in Computer Science, Machine Learning, Software Engineering, or an equivalent practical background.
- Strong proficiency in AI/ML frameworks, statistical modeling, machine learning theory, and GPU/ML performance optimization.
- Hands-on experience building cloud-native architectures, ideally with AWS, using Kubernetes and relational, NoSQL, or data lake storage systems.
- Experience applying software engineering best practices across the full stack and learning new technologies and languages.
- Clear communication skills and ability to build collaborative partnerships across technical and non-technical teams.
- Preferred experience with biological data, scientific imaging, life sciences research environments, generative AI solutions, autonomous agents, or workflow automation tools.
Benefits
- Hybrid schedule based in South San Francisco with three days per week on campus.
- No relocation benefits are available for this posting.
- A discretionary annual bonus may be available based on individual and company performance.
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.