Senior Machine Learning Engineer

About the Position

Senior Machine Learning Engineer

• New York, NY | Boston, MA

About DraftKings

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.

Responsibilities

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

• 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.

Requirements

• 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.

We Offer

The US base salary range for this full-time position is $134,400.00 - $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.

About the Company

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.

DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

Ready to Own What's Next?

We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.