What are the responsibilities and job description for the Machine Learning Engineer position at Stealth Startup (Health-Tech)?
ML Engineer - Stealth Healthcare AI Startup
We're building an AI-powered platform that helps commercial teams in the medical device industry make smarter pricing and deal decisions. Pre-seed startup working with major MedTech companies.
Looking for a founding ML engineer to shape the core intelligence layer—explainable models, sparse healthcare data, real-time decision support.
What you'll work on:
- Models that recommend pricing strategies and deal structures
- Explainable AI that commercial teams actually trust
- Scoring and risk frameworks for complex healthcare contracts
What we're looking for:
- 3 years experience in ML/statistical modeling
- Strong Python skills; experience with modern ML tooling (PyTorch, scikit-learn, or similar)
- Experience deploying models to production (not just notebooks)
- Familiarity with cloud ML infrastructure (AWS SageMaker, Vertex AI, or similar)
- Experience with messy, real-world data (not just clean benchmark datasets)
- Comfort with ambiguity and early-stage pace
- Customer-facing ability—you'll be in conversations with MedTech companies
- Potential to build and lead a team as we grow
Nice to have:
- Startup or early-stage experience
- Healthcare, pricing, or multi-tenant SaaS background
Foundational role. Competitive comp.
- DM for details.