Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
DraftKings, a leading digital sports entertainment and gaming company (NASDAQ: DKNG), is seeking a Senior Machine Learning Engineer to join their Casino Reinvestment team. This role combines technical expertise with business impact, focusing on optimizing player engagement through ML solutions. You'll be responsible for developing and deploying sophisticated machine learning models that personalize user experiences and drive long-term player value.
The position offers an exciting opportunity to work with cutting-edge ML technologies while solving complex challenges in the gaming industry. You'll lead end-to-end ML projects, from conception to production, while working with distributed data platforms and modern ML tools like Databricks, MLflow, and Jenkins. The role emphasizes both technical excellence and leadership, as you'll be expected to mentor junior engineers and contribute to establishing best practices.
Working at DraftKings means joining a publicly traded company that's defining the future of sports entertainment. The company offers competitive compensation, including a base salary range of $134,400 - $168,000 USD, plus bonus and equity opportunities. They're committed to responsible gaming and creating extraordinary sports and entertainment experiences.
This role is perfect for someone who combines strong technical skills in Python, SQL, and ML with the ability to drive business outcomes through data-driven solutions. You'll be part of a dynamic team that values innovation, collaboration, and measurable impact, while working on projects that directly affect user experience and business growth.
Responsibilities For Senior Machine Learning Engineer
- Lead end-to-end ML projects to improve customer retention and engagement, from ideation to production
- Build and templatize robust ML pipelines with emphasis on deployment, maintenance, and reusability
- Design and maintain CI/CD pipelines using tools like MLflow, Jenkins and GitOps
- Monitor model performance post-deployment and implement retraining and drift detection strategies
- Mentor junior ML Engineers and contribute to team-wide best practices
- Collaborate with cross-functional teams to translate insights into business-impacting ML solutions
Requirements For Senior Machine Learning Engineer
- Strong Python and SQL skills, with experience working on distributed data platforms like Spark
- Proven ability to deliver production-ready ML solutions
- Hands-on experience with Databricks for orchestrating ML workflows
- Experience with experiment design and analyzing A/B tests
- Excellent communication and collaboration skills
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related discipline
Benefits For Senior Machine Learning Engineer
- Base salary plus bonus and equity
- Comprehensive benefits package
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