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.
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.
The Crown Is Yours
As a Lead Machine Learning Engineer, Platform, you will guide a team of Machine Learning Platform Engineers to deliver exceptional experiences for our products and customers. You will advance business-critical projects by applying your expertise in machine learning platforms, driving innovation, and shaping the future of our data solutions. In this role, you will collaborate closely with data science teams, spearheading the development of a world-class machine learning platform that powers transformative insights and solutions.
What you’ll do as a Lead Machine Learning Engineer, Platform
Lead a squad of ML Platform Engineers to design and implement all components of a modern MLOps stack including feature store, model serving, and model monitoring.
Provide technical direction and mentorship to talented teams of Data/ML Platform Engineers of all levels, aiding them in their own career growth.
Partner with Data Architecture teams, facilitate technical design discussions, and help your squad overcome hurdles.
Utilize MLOps principles to drive the adoption of best practices in the team.
Develop and maintain end-to-end machine learning pipelines, ensuring seamless integration and automation.
What you’ll bring
At least 5 years of experience in an MLPlatform Engineering position.
Experience working on machine learning projects from concept to design phase to production implementation.
Experience with data engineering and analytics platforms like Databricks.
Strong background in MLOps practices, including CI/CD, containerization (Docker), orchestration frameworks (Kubernetes, Airflow), model serving tools (AWS SageMaker, Seldon), model observability frameworks, and feature stores.
Experience with Infrastructure as Code (IaC)
Bachelors or advanced degree in Data Science, Computer Science, Engineering, or a related field.
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 152,000.00 USD - 190,000.00 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.
