Principal AI/ML Engineering Lead
Vida Health · US · US
Health Tech
Remote
Not yet analysed
Demand80
Career growth85
Healthcare fit35
Remote potential70
5-year outlook
Principal AI/ML engineering leads in health tech typically command competitive six-figure to high six-figure salaries, often with equity, depending on location and company stage. Growth is strong as AI/ML becomes central to digital health.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
–
Date found
2026-09-14
Intelligence details
Why this is worth applying to
Only clinicians with substantial software engineering and AI/ML experience should consider this role. For most clinicians, it's a stretch, but those with a technical background can leverage their healthcare domain knowledge to stand out.
Who should apply
Clinicians with advanced degrees in computer science, data science, or AI/ML, and hands-on experience building data platforms or ML systems in healthcare settings.
CV angle
Emphasize clinical domain expertise (obesity, chronic disease) combined with technical achievements in data engineering, ML model deployment, and healthcare data compliance (HIPAA). Frame clinical experience as domain knowledge that informs product and platform decisions.
Skills to highlight
- Python
- Machine Learning frameworks (TensorFlow, PyTorch)
- Data platform architecture
- Data governance and privacy (HIPAA)
- Cloud computing (AWS/GCP/Azure)
- Leadership and cross-functional collaboration
- Healthcare data standards (FHIR, HL7)
Role summary
Principal AI/ML Engineering Lead at Vida Health, responsible for rebuilding the data platform with a focus on patient data protection, governance, and enabling AI/ML capabilities for a virtual obesity care company.
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