Sr. Engineer, Machine Learning Operations

175

Base: $123,000 - $209,000 (national); $152,000 - $...
Python programming
Docker containerization
Kubernetes orchestration
The role involves deploying, operating, and scaling machine learning solutions in production for advanced cancer screening and precision oncology applications

Job Summary

  • The role involves deploying, operating, and scaling machine learning solutions in production for advanced cancer screening and precision oncology applications.
  • Candidates will design robust ML platforms ensuring reliability, security, and compliance across the full model lifecycle from data ingestion to continuous improvement.
  • Exact Sciences offers a purpose-driven career with an inclusive culture, robust benefits including health coverage, paid time off, and retirement savings plans.

Matching Summary

The role involves deploying, operating, and scaling machine learning solutions in production for advanced cancer screening and precision oncology applications.

Salary

Base: $123,000 - $209,000 (National); $152,000 - $228,000 (California); Bonus eligible; Benefits include PTO, parental leave, retirement plan, medical/dental/vision

Skills & Requirements

Must-have

  • Python programming
  • Docker containerization
  • Kubernetes orchestration
  • AWS Azure GCP cloud platforms
  • CI/CD pipeline implementation
  • Model monitoring and drift detection
  • 5 years relevant experience

Nice-to-have

  • Life sciences industry experience
  • Molecular diagnostics background
  • Cancer biology understanding
  • Healthcare data mining expertise
  • Inclusion mindset
  • Quality Management System compliance

Key Requirements

  • Bachelor's degree or equivalent experience
  • 5 years of job-related experience
  • US work authorization required
  • No visa sponsorship available

Work Rights

Must be authorized to work in the US

Tailored Resume

Cover Letter