Machine Learning Engineer jobs in United States
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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

Machine LearningPythonModel DeploymentCloud ML InfrastructureReal-world Data ExperienceCustomer-facing AbilityTeam Leadership PotentialStartup ExperienceHealthcare BackgroundPricing Experience

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

Company

Stealth Startup (Health-Tech)

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A stealth startup is a startup company that operates in stealth mode, i.e. that avoids public attention.

Funding

Current Stage
Early Stage

Leadership Team

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Anees Abdullateef
Chief Executive Officer
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Anjali Ahuja
CEO / Co-Founder
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Company data provided by crunchbase