Endeavor Flow is seeking a Senior Machine Learning Engineer to shape the company's AI-native platform, developing machine learning models to optimize treatment acceptance and risk prediction in healthcare finance. The ideal candidate will have 7-10+ years of experience in production-grade ML/AI and expertise in Python, SQL, and TensorFlow. The role offers a highly competitive base salary, generous equity package, and remote work flexibility.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Location: Remote / Flexible (with occasional travel to medical offices)
Compensation: Highly competitive base salary + generous equity package
Why This Role Stands Out:
You’ll shape Endeavor Flow’s evolution into an AI-native platform—developing machine learning models that optimize treatment acceptance, enhance risk prediction accuracy, and personalize financing workflows at scale. This isn’t incremental AI; you’re building core ML systems that leverage unique healthcare financing data to create sustainable competitive moats while maintaining the transparency and compliance standards critical in healthcare finance.
Phase 1: Treatment Optimization Engine
Driving Transaction Revenue Through Intelligent Treatment Recommendations
- AI-powered treatment coordination that helps practices identify optimal additional procedures and timing
- Financing optimization to maximize loan amounts within approved lender limits, increasing average transaction size
- Real-time decision support with explainable recommendations that treatment coordinators can confidently present
- Direct impact on transaction revenue through higher case values and improved financing utilization
Phase 2: Predictive Risk & Banking Intelligence
Enhancing Profitability and Maintaining 100% Approval Excellence
- Advanced risk prediction models using proprietary dental financing data to reduce defaults and improve portfolio performance
- Enhanced approval optimization that maintains our 100% financing approval rate while improving loan quality
- Healthcare-specific risk assessment that provides deeper insights than traditional credit models
- Bottom-line impact through reduced risk exposure, improved lending terms, and potential for direct lending partnerships
- Competitive advantage through aggregated lending intelligence from multiple lender partnerships that creates hyper tuned risk assessment models unavailable to single-lender or generic fintech platforms
What We’re Looking For
- Experience: 7–10+ years in production-grade ML/AI, ideally in fintech, payments, or healthcare.
- Technical Mastery: Deep expertise in Python, SQL, TensorFlow, PyTorch, Spark/Scala; familiarity with LLMs, recommender systems, credit scoring.
- MLOps & Infrastructure: Hands-on experience with ML pipelines, CI/CD, feature stores, model monitoring, and lifecycle tools like MLFlow.
- Product Impact: Track record of deploying ML solutions that deliver measurable operational or revenue benefits.
- Explainability & Compliance: Experience implementing transparent, bias-aware models suitable for sensitive domains.
- Leadership to Build: Ability to be both an individual contributor and future team leader—driving strategy, mentorship, and execution.
- Mission-Driven: Passionate about using AI to increase access to care, improve patient outcomes, and drive innovative financial workflows.
Salary & Benefits
- Top-of-market base salary
- Generous equity—real stake in company growth
- Fully remote-first, with travel support for site visits
- Professional development stipend
- Health benefits, flexible PTO, inclusive and mission-driven culture
How to Apply
If you're excited to architect next-generation AI systems that transform healthcare financing—while building foundational infrastructure and owning strategic AI impact—let’s connect.
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