DraftKings
Gaming
SeniorMachineLearningEngineer
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“Senior Machine Learning Engineer at DraftKings. Skills: Machine Learning, Python, Production Systems. Design scalable pipelines. Build testing frameworks”
What You'll Achieve.
scalable, production-ready systems; power critical decisions; enhance customer experiences; streamline operations; unlock new possibilities
Industry & Context.
analytically complex challenges; solve complex real-world problems
What They're Looking For.
Must Have
3 years of software engineering experience, machine learning, statistics, Python
Nice to Have
Databricks, Kubernetes, Terraform, gaming license
What You'll Do.
Design scalable pipelines
Build testing frameworks
Optimize models for production
Implement monitoring systems
Partner with cross-functional teammates
Champion ML best practices
Identify technical initiatives
How You'll Work.
Team & Collaboration
Partner with cross-functional teammates; collaborate effectively across teams
Communication Scope
communication skills; influence stakeholders
Full Job Description
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 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 as a Senior Machine Learning Engineer * 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 c
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