Senior Machine Learning Engineer

Overview 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. Responsibilities 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. Qualifications 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. Benefits & Compensation Base salary range: 134,400.00 USD – 168,000.00 USD. Additional bonus, equity, and benefits as applicable. Pay is determined by role, level, and location and may be adjusted for experience and education. Requirement: This role may require a gaming license issued by the appropriate state agency. DraftKings will guide you through the process if needed. Legal: 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. #J-18808-Ljbffr