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.

• 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.

• 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’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.