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Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As an Operations Supervisor, you'll lead a team managing lottery courier operations, ensuring efficient ticket processing and addressing operational challenges.
Top Skills:
Excel
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead regulatory programs for DraftKings prediction markets, manage filings and investigations with the CFTC and other regulators, oversee reporting and compliance monitoring, partner with cross-functional teams to identify and mitigate compliance risks, advise on new products, and represent the company to regulators.
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead strategy, execution, and growth of non-sports prediction markets (crypto, politics, finance, tech, culture). Own operational processes, launch and monitor markets at scale, optimize performance metrics (engagement, retention, volume, revenue), and partner cross-functionally to drive business outcomes using data-driven decisions and trend identification.
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 join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex challenges across the business. You'll turn cutting-edge machine learning research into scalable, production-ready systems that power critical decisions and customer experiences. Working at the intersection of data, engineering, and experimentation, you'll shape high-impact solutions from concept to deployment while influencing best practices across the organization.
What you'll do as a Senior Machine Learning Engineer
What you'll bring
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 134,400.00 USD - 168,000.00 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.
The Crown Is Yours
As a Senior Machine Learning Engineer, you'll join a team of algorithm experts and data science technologists building innovative data products that solve analytically complex challenges across the business. You'll turn cutting-edge machine learning research into scalable, production-ready systems that power critical decisions and customer experiences. Working at the intersection of data, engineering, and experimentation, you'll shape high-impact solutions from concept to deployment while influencing best practices across the organization.
What you'll do as a Senior Machine Learning Engineer
- Design and refine scalable pipelines for training, evaluating, and deploying machine learning models across diverse use cases.
- Build rigorous testing and statistical validation frameworks to measure model performance and ensure reliability in production.
- Optimize models for production readiness, improving computational efficiency, latency, and resource utilization.
- Implement real-time monitoring systems to detect data drift, model decay, and performance degradation, proactively maintaining model accuracy.
- Partner with cross-functional teammates to design, build, and deploy end-to-end machine learning applications that scale with business growth.
- Champion machine learning best practices, including responsible and ethical AI development, documentation, and reproducibility.
- Identify and lead technical initiatives that elevate platform capabilities and advance the team's machine learning standards.
What you'll bring
- At least 3 years of software engineering experience designing, building, and operating machine learning and artificial intelligence systems in production environments.
- A strong foundation in machine learning and statistics, with proven experience applying them to solve complex, real-world problems.
- Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring.
- Expertise in Python, along with experience in additional languages or tools that support scalable machine learning systems.
- Experience working with modern platform and infrastructure technologies such as Databricks, Kubernetes, and Terraform.
- Strong communication and leadership skills, with the ability to influence stakeholders and collaborate effectively across teams.
- A passion for mentoring teammates, sharing knowledge, and fostering technical growth within the team.
- The ability to work autonomously, proactively identifying opportunities and driving technical improvements from idea to execution.
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 134,400.00 USD - 168,000.00 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.
DraftKings Hoboken, New Jersey, USA Office
111 River Street, Floor 12, Hoboken, NJ, United States, 07030
DraftKings New York, New York, USA Office
In the Big Apple, our office in the heart of downtown Manhattan is the place to be. In the city that never sleeps, we keep the DraftKings engine running.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

