Stealth Startup (Health-Tech) · 2 hours ago
Machine Learning Engineer
Stealth Startup is a pre-seed healthcare AI company focused on building an AI-powered platform for the medical device industry. They are seeking a founding ML engineer to develop explainable models and support real-time decision-making for commercial teams.
Computer Software
Responsibilities
Models that recommend pricing strategies and deal structures
Explainable AI that commercial teams actually trust
Scoring and risk frameworks for complex healthcare contracts
Qualification
Required
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
Preferred
Startup or early-stage experience
Healthcare, pricing, or multi-tenant SaaS background