Senior Machine Learning Engineer, FinTech is a Machine Learning Engineer role (full-time). with DraftKings. in BOSTON, US. Compensation shown: $134K–$168K. Imported listing (source: sports-careers.com). Apply on the employer's site (sports-careers.com).
Imported listing (source: sports-careers.com) · Apply on sports-careers.com
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Imported job description
Sourced from sports-careers.com
DraftKings is hiring a Senior Machine Learning Engineer for its FinTech Data Science team, which protects the company and its customers from fraud, payment risk, and abuse. You will design, build, and scale production-grade data and ML pipelines that power risk and payment decisioning systems. The role involves close collaboration with data scientists, engineers, and product managers to deliver explainable, reliable, and observable ML systems across financial and operational flows.
Responsibilities
Design, build, and maintain ETL and feature engineering pipelines that power risk and payment applications
Develop production ML systems from training and evaluation through deployment and monitoring
Partner with data scientists to productionize models that integrate into decisioning systems
Build reliable, well-tested data workflows from SQL-based feature transformations through model deployment
Establish observability and monitoring for data quality, model drift, and service reliability
Participate in code reviews, design discussions, incident response, and on-call rotations
Mentor junior engineers and contribute to shared tooling, documentation, and process improvements
Requirements
3+ years of experience writing production Python applications and working with structured data (SQL and data modeling)
DraftKings is a multinational technology and digital sports entertainment company offering online sports betting, casino games, and daily fantasy sports. It serves a large customer base and operates a robust digital platform for interactive gaming.