Job Description
The Crown Is Yours
As a Senior Machine Learning Engineer you'll design implement and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll partner closely with data scientists engineers and product managers to build systems that are well-structured observable and scalable. The Fintech Data Science team builds and maintains systems that protect DraftKings and its customers from fraud payment risk and abuse. Our mission is to enable explainable and reliable decision-making across all financial and operational flows - from registration and deposits to gameplay and withdrawals.
What you'll do
- 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.
What you'll bring
- 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.
- Experience building or maintaining data and feature pipelines in a data-heavy environment.
- Understanding of the ML lifecycle including feature engineering training and model serving.
- Ability to debug production issues across data model and infrastructure layers.
- Strong collaboration and communication skills; able to translate technical solutions into operational outcomes.
- Bachelor's degree in Computer Science Machine Learning or a related technical field (Master's preferred).
Join Our Team
We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. 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. Don't worry we'll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 134400.00 USD - 168000.00 USD plus bonus equity and benefits as applicable. Our ranges are determined by role level and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Skills Required
- 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 MLOps frameworks such as model registry orchestrations and feature stores.
- Experience building or maintaining data and feature pipelines in a data-heavy environment.
- Understanding of the ML lifecycle including feature engineering training and model serving.
- Ability to debug production issues across data model and infrastructure layers.
- Strong collaboration and communication skills; able to translate technical solutions into operational outcomes.
- Bachelor's degree in Computer Science Machine Learning or a related technical field.
- Master's degree in a related field.
- Support on-call rotations and participate in post-incident reviews.
- May be required to obtain a gaming license issued by the appropriate state agency.
What the Team is Saying







DraftKings Compensation & Benefits Highlights
- Parental & Family Support—Company materials highlight 14 weeks of fully paid parental leave globally along with adoption/fostering support fertility coverage (Progyny) childcare assistance (Care.com) and lactation resources. Feedback suggests these programs provide meaningful inclusive support for families at different stages.
- Wellbeing & Lifestyle Benefits—Health coverage with day-one eligibility is complemented by Lyra therapy/EAP Calm wellness programs and fitness reimbursement with some offices offering on‑site amenities. Feedback suggests this breadth enhances everyday wellbeing beyond standard medical plans.
- Retirement Support—A 401(k) plan with employer match and financial‑planning tools are included as core benefits. Feedback suggests retirement matching offers stable long‑term value within the total rewards mix.
DraftKings Insights
What We Do
It's simple at DraftKings we believe life is more fun when you're in on the action. For that reason we’re committed to responsibly creating the world’s favorite games and betting experiences. We’re developing the most innovative and entertaining real money products and offers; to forever transform how people experience sports; to be a fully vertically integrated sports betting operator. It's our ultimate goal to build the best most trusted and most customer-centric destination for our players. We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets developing cutting-edge products and shaping the future of responsible gaming.
Why Work With Us
Here “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth help us win as a team and create unforgettable moments for our customers. Ready to own what’s next?
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our flexible hybrid policy empowers team members to work where they’re most productive—whether at home or in our collaborative offices. We trust our teams to choose what works best for them to thrive and innovate.
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Date Posted
07/02/2026
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