Machine Learning Engineer
Coin Flow
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
Build and evolve machine learning models and analytical systems that support platform decisioning and product intelligence Establish the foundation for data and machine learning practices across the company Define, own, and evolve core metrics across platform health, performance, and risk Explore transaction and behavioral data to uncover patterns, signals, and new insights Partner closely with Engineering, Product, and Operations to turn open-ended problems into real systems Design how models and data systems are evaluated, improved, and trusted over time Build internal workflows and tooling that support operational and product teams Help shape Coinflow's long-term data and machine learning roadmap Required Qualifications:
4+ years of experience in machine learning, applied data science, or production ML roles Strong foundation in machine learning, statistics, and analytical problem solving Experience building models or data-driven systems that operate in real products Comfort working with ambiguous problems and creating structure where none exists Strong communication skills and experience collaborating cross-functionally High ownership mindset with genuine curiosity about messy, real-world data Preferred Qualifications:
Experience building decisioning, optimization, fraud, risk, or other payments systems Experience in fintech, payments, or other financial services environments Experience as an early data/ML hire at a startup Experience working with high-volume behavioral or financial data What We Offer:
Competitive compensation including base salary, performance bonus, and meaningful ownership Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company Collaborative and innovative work environment with world-class investors Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase
Sprachkenntnisse
- English
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