PrizePicks is looking to productionize real-time priced markets within the product, and the Machine Learning Engineering team needs assistance with data, scalability, performance, and MLOps challenges.
Requirements
- Strong computer science/engineering background. Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field
- Strong coding skills - Python, SQL.
- Demonstrable history of building robust data-intensive applications
- Experience with lower-level programming languages - Rust, Java, C++.
- Demonstrable background/coursework building data pipelines and/or machine learning applications from scratch.
- Success in open-source projects
Responsibilities
- Learn from the PrizePicks Machine Learning Engineering team on how we approach data, scalability, performance, and MLOps challenges.
- Assist with the creation and maintenance of optimal sport data stream architecture, ensuring data reliability in both speed and quality for data pipelines.
- Collaborate with our Data Science team to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability.
Other
- Actively enrolled student at time of internship or within 1 semester of graduation
- Rising Junior academic status
- 3.0 or greater GPA
- Authorized to work for any employer in the U.S.
- Strong organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
