Senior Machine Learning Engineer, Agentic Science/Generative Models, AI for Biology & Translation (AIBT)
Genentech2 months ago
Base Salary
$168k - $312k/yr
Responsibilities
- Build agents that use tools, retrieve evidence, and reason across multi-step scientific workflows.
- Create reliable interfaces between agents and biological, genomic, and clinical data sources.
- Design evaluation harnesses that assess agent outputs against scientific ground truth.
- Implement self-improving and autonomous loops for AutoML and lab-in-the-loop workflows.
- Implement agent memory and context management for long-horizon workflows.
- Build, fine-tune, deploy, and scale foundation models and LLMs in production.
- Own production Python and PyTorch or JAX codebases that turn research ideas into reliable software.
- Own the MLOps and AgentOps lifecycle, including experiment tracking, evaluation, monitoring, reproducibility, CI/CD, and infrastructure as code.
- Work with research scientists to turn open-ended scientific problems into scoped, shippable systems and raise engineering standards across the organization.
Requirements
- BS or MS in computer science, machine learning, engineering, or a related quantitative field.
- At least 5 years of experience building and shipping ML systems in industry.
- Excellent Python skills and strong software and data engineering fundamentals.
- Experience with Git, automated testing, CI/CD, and documentation.
- Track record of leading technical projects end to end.
- Comfort working with ambiguity and collaborating closely with scientists.
- Strong problem-solving and communication skills.
- Interest or experience applying ML to scientific discovery, including biology, chemistry, drug discovery, domain-specific data, or domain-specific models.
- Preferred experience with inference-time scaling and optimization, including test-time compute, sampling and search strategies, model routing, batching, caching, and latency, cost, and quality tradeoffs.
- Preferred experience with ML infrastructure on AWS, distributed training and inference, and HPC.
- Preferred experience building evaluation systems for agentic applications and using production agent orchestration frameworks such as LangGraph and MCP-based tool integration.
Benefits
- A discretionary annual bonus may be available based on individual and Company performance.
- The position qualifies for the company benefits detailed at the provided benefits link.
- Relocation benefits are not available for this job posting.
- The expected hiring range is based on the primary location of San Francisco; actual pay varies by experience, qualifications, geography, and other permitted factors.
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.