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Senior Machine Learning Engineer, Agentic Science/Generative Models, AI for Biology & Translation (AIBT)

Roche
South San Francisco, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 days ago
awseksgitpythonsagemaker

Full Job Posting

Who you are

  • BS/MS in CS, ML, engineering, or a related quantitative field
  • 5+ years building and shipping ML systems in industry
  • Excellent Python; strong software and data engineering fundamentals (Git, automated testing, CI/CD, documentation)
  • Track record leading technical projects end to end
  • Comfort with ambiguity and close collaboration with scientists
  • Strong problem-solving and communication skills
  • Interest or experience in applying ML to scientific discovery (AI for science), such as biology, chemistry, or drug discovery, including working with domain-specific data and models.
  • Preferred
  • Inference-time scaling and optimization: test-time compute, sampling and search strategies, model routing, batching, caching, latency/cost/quality tradeoffs
  • ML infrastructure on AWS (EC2, S3, EKS, SageMaker), including distributed training and inference on HPC
  • Evaluation systems for agentic applications where correctness is scientifically defined
  • Agent orchestration frameworks in production (LangGraph, MCP-based tool integration)
  • Relocation benefits are NOT available for this job posting
  • The expected salary range for this position based on the primary location of San Francisco is $168,100 - 312,300 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
  • Benefits
  • #ComputationCoE
  • #tech4lifeComputationalScience
  • Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
  • If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Preferred Qualifications

  • Preferred
  • The expected salary range for this position based on the primary location of San Francisco is $168,100 - 312,300 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

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