Danaher Corporation
10,000+ employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.
Staff Engineer – ML Operations
🕒 July 16
🇺🇸 United States – Remote
💵 $180k - $220k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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Danaher Corporation
10,000+ employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.
📋 Description
• 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
• 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
• Paid time off • Medical/dental/vision insurance • 401(k) • Comprehensive benefit programs
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