Senior Machine Learning Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

DraftKingsJobs
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Reposted 7 Hours Ago
Boston MA USA
Hybrid
134K-168K Annually
Senior level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
The Crown Is Yours
The Role
Design implement and scale production-grade data and ML pipelines for risk and payments. Build ETL and feature engineering workflows productionize models establish observability and monitoring participate in reviews and on-call rotations and mentor junior engineers to ensure reliable explainable decisioning systems.
Summary Generated by Built In
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. 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. We're shaping it one bold step at a time. To those who see AI as a driver of progress come build the future together.
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

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DraftKings Compensation & Benefits Highlights

  • Parental & Family SupportCompany 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 BenefitsHealth 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 SupportA 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.

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The Company
HQ: Boston MA
6400 Employees
Year Founded: 2012

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.

Typical time on-site: Flexible
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Date Posted

07/02/2026

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