Founding ML Engineer (Stealth Healthcare Startup)

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies, and they are seeking a Founding ML Engineer for a stealth healthcare startup. In this role, you will be responsible for building core platform features, integrating data sources, and contributing to AI-powered systems to enhance women's health intelligence.

Responsibilities:

• Build Core Platform Features
• Develop backend services, APIs, and user-facing features across the platform. You'll work on everything from symptom tracking to lab result visualization to treatment recommendations
• Integrate Data Sources
• Build integrations with wearables (Oura, Apple Health, Whoop, Garmin), lab providers, and other health data sources. Create pipelines that ingest, normalize, and store data reliably
• Contribute to AI/ML Systems
• Work alongside senior engineers to build and improve our health intelligence engine—including conversational AI, recommendation models, and pattern detection. Prior ML exposure is helpful; willingness to learn is essential
• Ship Fast and Iterate
• We're early stage. You'll ship code frequently, get feedback from real users, and iterate quickly. Comfort with ambiguity and a bias toward action are key
• Build with AI-Native Tools
• Use Claude, Claude Code, Cursor, and other AI-assisted development tools daily. We embrace vibe coding and expect you to leverage AI to move faster and learn faster
• Learn the Healthcare Domain
• You'll pick up health data concepts, compliance basics (HIPAA), and clinical terminology as you go. We'll support your learning—curiosity matters more than prior experience here

Requirements:

• 1-3 years of software engineering experience, including internships or research roles
• You've built and shipped real software—whether in a job, a research lab, or meaningful personal projects
• You write clean, efficient code and are comfortable with Python and engineering best practices
• Full-stack capable or eager to learn
• Experience with backend development (APIs, databases) and willingness to pick up frontend work as needed
• Familiarity with JavaScript/TypeScript, React, or similar is a plus
• Comfortable with cloud infrastructure
• Basic experience with AWS, GCP, or Azure
• You can deploy code and aren't afraid of infrastructure
• Excited about AI-native development
• You already use Claude, Cursor, Copilot, or similar tools—or you're eager to
• You see AI as a way to accelerate your work and learning
• Self-directed and scrappy
• You thrive with autonomy, figure things out independently, and take ownership
• You're comfortable in ambiguous, fast-moving environments
• Strong communicator
• You can explain technical concepts clearly and collaborate effectively with teammates across disciplines
• Motivated by impact
• You care about building something meaningful
• You're excited about a product that improves real health outcomes for women
• Exposure to machine learning concepts
• You've trained models, worked with ML frameworks (TensorFlow, PyTorch, sklearn), or built AI-powered features
• You don't need to be an expert—but you're not starting from zero
• Experience building multi-agent AI systems or working with LLMs
• Experience at an early-stage startup or in a high-autonomy research environment
• Graduate coursework or specialization in machine learning