DraftKings
Senior Machine Learning Engineer
Boston, MA · Senior · Full-time
Sponsorship not specifiedDetected 30 days ago
PythonCode ReviewSQLMachine LearningData EngineeringData ScienceMLOpsIncident ResponseCommunicationCollaboration
About the role
- It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities.
- Our teams are energized by innovation and readily embrace emerging technology.
- We're not waiting for the future to arrive.
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.
- Participate in code reviews, design discussions, and incident response, helping to maintain strong engineering practices.
- Support on-call rotations and post-incident reviews to ensure continuous system improvement.
- Strong software engineering fundamentals - object-oriented design, testing, and version control.
- Experience building or maintaining data and feature pipelines in a data-heavy environment.
Requirements
- 3+ years of experience writing production Python applications and working with structured data (SQL and data modeling).
- As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
Compensation
- The US base salary range for this full-time position is 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable.
- Your recruiter can share more about the specific pay range and how that was determined during the hiring process.
Benefits
- The US base salary range for this full-time position is 134,400.00 USD - 168,000.00 USD, plus bonus, equity, and benefits as applicable.
- Bachelor's degree in Computer Science, Machine Learning, or a related technical field (Master's preferred).
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Company info
- At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas.
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This listing is sourced directly from DraftKings's careers page and normalized into a canonical job model.