Staff Machine Learning Engineer
Core
Define technical vision and architecture for ML-driven payment optimization, bridging strategy, architecture, and execution across multiple teams to scale ML capabilities.
Role type
Staff Machine Learning Engineer (Technical Leadership & Architecture)
Builds
Shared ML infrastructure (feature stores, model serving platforms, experimentation frameworks) and ML-driven payment optimization systems
Domain
Fintech / Payments / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
ML architecture at scale, technical leadership without authority, classical and applied ML mastery, production ML engineering, software engineering excellence, strategic thinking and business acumen, payments domain depth, cloud infrastructure mastery
Technologies
Python, XGBoost, LightGBM, AWS, GCP
Responsibilities
Define multi-quarter roadmap for ML-driven authorization optimization and routing intelligence; Architect shared ML infrastructure and MLOps tooling; Drive cross-team technical standards for model governance and monitoring; Solve ambiguous, high-stakes problems by scoping and leading execution; Mentor and level up senior engineers; Lead experimentation at scale using multi-armed bandits and causal inference; Elevate engineering culture through design reviews and internal forums
Seniority
Staff, technical leadership & mentorship
