Machine Learning Infrastructure Engineer - #4694

GRAIL

Menlo Park, CA, United States
**
Machine learning infrastructure
Distributed computing systems
Reproducible research enablement
** GRAIL is seeking a Staff Machine Learning Infrastructure Engineer to enhance their Research Platform Engineering team, focused on building robust systems for machine learning workflows in cancer detection. The role requires strong software engineering skills, collaboration with multidisciplinary teams, and a passion for reliable infrastructure. **

Job Summary

  • Our mission is to detect cancer early, when it can be cured.
  • You will empower computational biologists, data scientists, and statisticians in their quest to develop and refine powerful diagnostic products.
  • This is a hybrid role based in Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026).

Matching Summary

Match Score: 75

** GRAIL is seeking a Staff Machine Learning Infrastructure Engineer to enhance their Research Platform Engineering team, focused on building robust systems for machine learning workflows in cancer detection. The role requires strong software engineering skills, collaboration with multidisciplinary teams, and a passion for reliable infrastructure. **

Skills & Requirements

Must-have

  • Machine learning infrastructure
  • Distributed computing systems
  • Reproducible research enablement
  • Software engineering for analysis workflows
  • Controlled data environments

Nice-to-have

  • Strong communication skills
  • Multidisciplinary team collaboration
  • Passion for reliable software

Key Requirements

  • Staff Machine Learning Infrastructure Engineer
  • Software engineering role

Work Rights

Not specified

Tailored Resume

Cover Letter