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 in Boston. This role combines technical expertise with business impact, focusing on optimizing player engagement through ML solutions.
The position offers an exciting opportunity to work on cutting-edge ML projects that directly influence user experience and business outcomes. You'll be responsible for developing and deploying sophisticated machine learning solutions that personalize user experiences and drive long-term player value. The role requires expertise in Python, SQL, and distributed computing platforms like Spark and Databricks.
As a senior member of the team, you'll not only build and maintain ML pipelines but also mentor junior engineers and shape best practices. The company offers competitive compensation ($134,400 - $168,000) plus bonus, equity, and benefits. DraftKings' culture emphasizes innovation, collaboration, and pushing boundaries to create extraordinary sports and entertainment experiences.
This is an ideal opportunity for an experienced ML engineer who wants to make a significant impact in the gaming industry while working with a publicly traded company that's defining the future of sports entertainment. The role combines technical challenges with business strategy, requiring both strong technical skills and excellent communication abilities.
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
- Bonus
- Equity
- Benefits Package
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