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.
As a Machine Learning Engineering Manager, you'll lead a team of Machine Learning Platform Engineers to provide a best-in-class experience for our customers. You will leverage your expertise in machine learning platforms to drive business-critical projects forward. Your work will be critical as we continue to build and innovate our data platform. You and your team will collaborate closely with Data Science teams to build a world-class platform. Beyond execution, you’ll set strategic direction, foster a culture of innovation, and raise technical standards across the organization.
What You'll Do
Partner with Data Science teams to design and implement all components of a modern MLOps stack including feature store, model serving, and model monitoring.
Manage hiring, training, and updates on team performance to management.
Define best practices for reliability, repeatability, obervability and scalability of data science systems.
Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.
Partner with Data Science, Data Engineering, Cloud Platform and Marketing Platform for strategy, scoping, and prioritization.
Utilize MLOps principles to drive the adoption of best practices across the team.
Lead the development and maintenance of end-to-end machine learning pipelines, ensuring seamless integration and automation.
Bachelor's degree or advanced degree in Data Science, Computer Science, Engineering, or a related field.
At least 5 years of experience leading machine learning or MLOps teams, including 2 or more years in a formal leadership or management role.
Strong background in MLOps practices, including CI/CD (Jenkins), containerization, orchestration frameworks (MLFlow), model serving tools (Databricks), model observability frameworks (Monte Carlo, DataDog), and feature stores.
Extensive experience with data engineering and analytics platforms like Databricks.
Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.
Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.
Experience in the gaming industry or a related domain is a strong plus.
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 184,000.00 USD - 230,000.00 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.