What are the responsibilities and job description for the Machine Learning Manager position at DraftKings Inc.?
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 Machine Learning Engineering Manager, you'll lead a high-impact team focused on delivering personalized experiences to millions of customers. You will grow and develop Machine Learning engineers, guide projects from concept to production, and ensure the delivery of scalable, high-performing customer-facing systems. In this role, you'll collaborate with teams across Data Science, Data Engineering, and Platform Engineering to turn models into reliable, high-volume systems. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise technical standards across the organization.
What You'll Do
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.
The Crown Is Yours
As a Machine Learning Engineering Manager, you'll lead a high-impact team focused on delivering personalized experiences to millions of customers. You will grow and develop Machine Learning engineers, guide projects from concept to production, and ensure the delivery of scalable, high-performing customer-facing systems. In this role, you'll collaborate with teams across Data Science, Data Engineering, and Platform Engineering to turn models into reliable, high-volume systems. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise technical standards across the organization.
What You'll Do
- Lead and mentor a high-performing team while contributing directly as an individual contributor.
- Accelerate model development and deployment across key marketing applications.
- Define best practices for reliability, observability, scalability, and repeatability in ML systems.
- Champion software engineering and MLOps best practices including containerization, CI/CD, monitoring, and testing.
- Collaborate cross-functionally with Data Science, Cloud Platform, Data Engineering, and Marketing Platform teams.
- Align your team’s roadmap with broader marketing and business goals, setting clear priorities and delivering against them.
- Conduct regular performance reviews, offer actionable feedback, and support team development and growth.
- Stay ahead of trends in ML, personalization, and gaming to keep our company at the forefront of innovation.
- Bachelor's degree in Computer Science, Machine Learning, or a related field; Master's degree preferred.
- At least 5 years of experience building ML or MLOps systems, including a minimum of 2 years in a formal leadership role.
- Hands-on expertise with ML systems and experimentation frameworks.
- Deep familiarity with modern data and ML platforms like Databricks and MLFlow.
- Proven experience with containerization, CI/CD (e.g., Jenkins), model serving, and observability tools (e.g., Monte Carlo, DataDog).
- Strong understanding of the software development lifecycle and ability to guide teams through successful delivery cycles.
- Excellent collaboration and communication skills; adept at influencing across functions and levels.
- Experience in the gaming, entertainment, or digital marketing space 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.
Salary : $184,000 - $230,000