Senior ML Engineer - Production AI for FinTech Risk

National Geographic; Boston (MA); On-site; USD 134,000 - 168,000; Full time

Job summary

DraftKings in Boston is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade data and ML pipelines that drive measurable business outcomes. You’ll partner with data scientists, engineers, and product managers to build systems that are well-structured, observable, and scalable.

The team focuses on fraud, payment risk, and abuse, enabling explainable and reliable decision-making across financial and operational flows.

Qualifications

• 3+ years of experience writing production Python applications and working with structured data (SQL and data modeling).
• Strong software engineering fundamentals — object-oriented design, testing, and version control.
• Familiarity with ML Ops frameworks such as model registry, orchestrations, and feature stores.

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 DK’s decisioning systems.
• Build reliable, well-tested data workflows — from SQL-based feature transformations through model training and deployment.
• Establish observability and monitoring for data quality, model drift, and service reliability.
• Participate in code reviews, design discussions, and incident response, helping to maintain strong engineering practices.
• Mentor junior engineers and contribute to shared tooling, documentation, and process improvements across the DS organization.
• Support on-call rotations and post-incident reviews to ensure continuous system improvement.

Skills

Python

SQL

OO design

Testing

Version control

ML Ops

Education

Bachelor's degree in CS/ML or related

Master’s degree preferred

Tools

Model registry

Orchestration tools

Feature stores

Job description

DraftKings in Boston is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade data and ML pipelines that drive measurable business outcomes. You’ll partner with data scientists, engineers, and product managers to build systems that are well-structured, observable, and scalable.

The team focuses on fraud, payment risk, and abuse, enabling explainable and reliable decision-making across financial and operational flows.