ML Engineer - Health & Wearable Data - AI-Driven Well-being Platform at Endor

Join our mission to build the first 360° well-being system at Endor. You’ll be implementing and evolving algorithms that convert wearable sensor data into personalized wellness recommendations. We’re moving quickly beyond MVP - and we’re looking for an ML Engineer who can take the lead on real-world, production-ready algorithm development.

This role is ideal for someone who combines a strong understanding of data science with solid Python development skills and can work independently across the full lifecycle of ML systems - from prototype to production. You’ll collaborate with doctors, scientists, and health experts to build tools that genuinely improve lives, while owning the technical implementation of our core algorithms.

What You’ll Do

• Build, optimize, and maintain Python-based algorithms that extract insights from biometric data
• Work with HRV, sleep, and activity data alongside medical advisors
• Validate model accuracy against clinical benchmarks and real-world data
• Apply ML techniques to enhance prediction, personalization, and insight generation
• Own algorithm development beyond MVP as we scale
• Work closely with product and backend engineers to deploy systems into production

Who We’re Looking For

• Confident Python developer comfortable writing clean, testable, and efficient code
• Solid background in either data science or ML, with a strong software engineering mindset
• Familiar with model validation, tuning, and real-world data challenges
• Able to work independently, manage priorities, and drive technical decisions
• Excellent communication skills to explain complex models to non-technical stakeholders
• Relevant degree or equivalent practical experience

Bonus Points

• Experience working with biometric data, wellness metrics, or related physiological signals
• Familiarity with wearable device integrations or IoT data streams
• Background in health tech, digital therapeutics, or consumer wellness applications
• Deep knowledge of HRV, sleep stages, activity patterns, and clinical relevance
• Built recommendation systems for behavior change
• Experience with real-time data processing or mobile backend integration
• Comfort working with relational databases (e.g., PostgreSQL)

What We Offer

• Competitive compensation with stock options
• Remote flexibility
• Immediate start opportunities
• Consultancy and full-time arrangements
• Direct impact on revolutionary health-tech from MVP to market scale
• Strong team: Working alongside a passionate team of senior full-stack engineers with a solid track record of successfully delivered and shipped products