At DraftKings, AI is becoming an integral part of both present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas, and the company is looking for a Lead Machine Learning Engineer to shape the future of AI and machine learning by designing scalable infrastructure and tooling.
Requirements
- At least 5 years of experience building and scaling production-grade ML or data platforms.
- Deep expertise in cloud-based environments such as AWS and Databricks.
- Proven knowledge of MLOps methodologies, including CI/CD, containerization, orchestration, model deployment, model observability, and feature stores.
- Strong cross-functional communication and collaboration skills, with a demonstrated ability to align technical vision across multiple teams.
- A passion for mentoring and a drive to stay on the cutting edge of ML infrastructure and AI technologies.
- Bachelor’s or Master’s Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
- Proven knowledge of containerization
Responsibilities
- Support platform and infrastructure tooling for AI and Data Science teams by managing infrastructure code and providing enablement support.
- Lead high-impact technical initiatives that evolve our ML infrastructure with a focus on scalability, observability, automation, and lifecycle management.
- Design and implement real-time streaming architectures to power real-time ML, AI, and analytics applications.
- Champion engineering and MLOps best practices, including containerization, CI/CD, monitoring, and testing frameworks.
- Define and advocate for robust frameworks and standards to build and operate ML systems at scale.
- Collaborate cross-functionally with teams including Data Science, Data Platform, and Cloud Platform to align on strategy, scope, and technical priorities.
- Mentor engineers, fostering a culture of technical excellence, innovation, and continuous learning.
Other
- Bachelor’s or Master’s Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
- Strong cross-functional communication and collaboration skills, with a demonstrated ability to align technical vision across multiple teams.
- A passion for mentoring and a drive to stay on the cutting edge of ML infrastructure and AI technologies.
- May be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.
- Must be eligible to work in the US
