Senior Machine Learning Engineer (Agentic Science/Generative Models)

Location: South San Francisco, California, United States of America

Salary: $168,100–$312,300 annually, plus a possible discretionary annual bonus.

Company

hirify.global, a member of the Roche group and a biotechnology pioneer, develops medicines for serious and life-threatening diseases through scientific research and computational innovation.

What you will do

• Build agents that use tools, retrieve evidence, and reason across multi-step scientific workflows.
• Develop reliable interfaces between agents and biological, genomic, and clinical data sources.
• Design evaluation harnesses that measure agent correctness against scientific ground truth.
• Build, fine-tune, deploy, and scale foundation models and large language models in production.
• Own production Python and PyTorch or JAX codebases, including MLOps and AgentOps for tracking, evaluation, monitoring, reproducibility, CI/CD, and infrastructure as code.
• Partner with research scientists to turn open-ended scientific problems into scoped, shippable systems.

Requirements

• BS or MS in computer science, machine learning, engineering, or a related quantitative field.
• 5+ years of experience building and shipping machine learning systems in industry.
• Excellent Python and strong software and data engineering fundamentals, including Git, automated testing, CI/CD, and documentation.
• Experience leading technical projects end to end and collaborating closely with scientists in ambiguous problem spaces.
• Interest or experience applying machine learning to scientific discovery, such as biology, chemistry, or drug discovery.
• Relocation benefits are not available for this position.

Nice to have

• Experience with inference-time scaling and optimization, including test-time compute, sampling, search, routing, batching, caching, and latency, cost, and quality trade-offs.
• Experience with AWS ML infrastructure, including EC2, S3, EKS, SageMaker, distributed training, and HPC inference.
• Experience building evaluation systems for agentic applications with scientifically defined correctness.
• Production experience with LangGraph or MCP-based tool integration.

Culture & Benefits

• Work in a multidisciplinary environment with ML scientists, ML engineers, and computational biologists.
• Contribute to a unified Computational Sciences Center of Excellence supporting research and early development.
• Benefits are available according to the company's employee benefits program.
• A discretionary annual bonus may be available based on individual and company performance.
• hirify.global is an equal opportunity employer and provides accommodations for applicants with disabilities.