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Danaher Corporation

Staff Engineer – ML Operations

Danaher Corporation

Staff Engineer handling ML lifecycle for AI-driven research at Danaher. Collaborating with teams to run large-scale ML experiments and drive efficiency in machine learning operations.

Posted 7/16/2026full-timeRemote • 🇺🇸 United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing the end-to-end machine learning lifecycle, including deployment, tooling, and efficiency optimization. Proficient in containerization and orchestration technologies, with a strong foundation in Python and collaboration with bioinformatics teams.

Highest-signal resume keywords
Machine Learning Lifecycle ToolingContainerization and OrchestrationPython ProficiencyCI/CD ImplementationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningSoftware EngineeringInfrastructure EngineeringContainerizationOrchestrationPythonBash
Tools & Technologies
DockerKubernetes
Industry Keywords
BioinformaticsComputational BiologyGPU EfficiencyAccelerated Compute

Tech Stack

Tools & technologies
DockerKubernetesPython

About the role

Key responsibilities & impact
  • Own the end-to-end ML lifecycle and deployment
  • Partner with bioinformatics and computational biology teams
  • Implement CI/CD, continuous training, and observability for ML
  • Drive GPU and accelerated-compute efficiency
  • Build self-service ML tooling and provide technical leadership

Requirements

What you’ll need
  • Degree in Computer Science, Engineering, Computational Biology, or a related technical field, or equivalent practical experience
  • 5+ years of software, ML, or infrastructure engineering experience
  • Strong experience with ML lifecycle tooling
  • Strong experience with containerization and orchestration (Docker, Kubernetes)
  • Proficiency in Python (and familiarity with Bash)

Benefits

Comp & perks
  • Paid time off
  • Medical/dental/vision insurance
  • 401(k)
  • Comprehensive benefit programs