Senior Principal Ai/ml Engineer

Abbott

Santa Clara, CA, United States
Base: $148,700.00 – $297,300.00; bonus/equity: not...
Hybrid
End-to-end ml solution development
Cloud/on-prem hybrid ml infrastructure architecture
Ci/cd workflows for ml models
Abbott is seeking a Senior Principal AI/ML Engineer to lead the development of AI initiatives for their medical devices in Santa Clara, CA. The ideal candidate will have extensive experience in AI infrastructure and compliance within a healthcare context, along with strong leadership and communication skills

Job Summary

  • This role leads the technical execution of Abbott's Medical Devices Digital AI initiatives by bridging advanced AI technology with scalable engineering solutions.
  • The position requires designing a robust AI platform with production-grade MLOps capabilities while ensuring strict adherence to HIPAA, GDPR, and Software as a Medical Device guidelines.
  • Candidates will benefit from career growth opportunities within an international company recognized as one of the most admired employers globally.

Matching Summary

Match Score: 85

Abbott is seeking a Senior Principal AI/ML Engineer to lead the development of AI initiatives for their medical devices in Santa Clara, CA. The ideal candidate will have extensive experience in AI infrastructure and compliance within a healthcare context, along with strong leadership and communication skills.

Salary

Base: $148,700.00 – $297,300.00; Bonus/Equity: Not specified; Benefits: Free medical coverage, retirement savings plan, tuition reimbursement

Skills & Requirements

Must-have

  • End-to-end ML solution development
  • Cloud/on-prem hybrid ML infrastructure architecture
  • CI/CD workflows for ML models
  • HIPAA, GDPR, and SaMD compliance
  • GenAI and Agentic AI development
  • Azure ML SDK and Databricks proficiency

Nice-to-have

  • FDA-regulated business experience
  • Signal processing or computer vision background
  • Federated learning familiarity
  • Open-source contributions or patents
  • Design thinking process expertise

Key Requirements

  • Bachelor's degree in CS or Engineering
  • 10+ years of experience (or Master's with 7+, PhD with 5+)
  • Deep experience building ML infrastructure
  • Experience with FDA 510(k) submissions preferred
  • Senior executive engagement experience

Work Rights

Not specified

Tailored Resume

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