<div class="content-intro"><p><span style="font-family: tahoma, arial, helvetica, sans-serif; font-size: 12pt;">At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? </span></p></div><p><span style="font-family: tahoma, arial, helvetica, sans-serif;"><strong><span style="font-size: 18pt;">Join the Team: Machine Learning Engineering Intern</span> </strong></span></p> <p><span style="font-family: tahoma, arial, helvetica, sans-serif;">This internship at PrizePicks offers students the opportunity to work with the Machine Learning Engineering team to productionize real-time priced markets within the product. Ideal candidates have a strong technical background in computer science, computer engineering, or related fields, proficiency in Python and SQL, and a passion for sports analytics. Standout applicants will have experience with lower-level programming languages such as Rust, cloud infrastructure and continuous deployment (GCP), SQL/NoSQL databases/warehouses, MLOps, and demonstrated success in open-source projects.</span></p> <p><span style="font-size: 18pt; font-family: tahoma, arial, helvetica, sans-serif;"><strong>What you'll do:</strong></span></p> <ul> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Learn from the PrizePicks Machine Learning Engineering team on how we approach data, scalability, performance, and MLOps challenges.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Assist with the creation and maintenance of optimal sport data stream architecture, ensuring data reliability in both speed and quality for data pipelines.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Collaborate with our Data Science team to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability.</span></li> </ul> <p><span style="font-size: 18pt; font-family: tahoma, arial, helvetica, sans-serif;"><strong>What you have</strong>:</span></p> <ul> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Strong computer science/engineering background. Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Strong coding skills - Python, SQL.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Demonstrable history of building robust data-intensive applications</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Interest in sports and fantasy sports markets.</span></li> </ul> <p><span style="font-size: 18pt; font-family: tahoma, arial, helvetica, sans-serif;"><strong>What makes you stand out:</strong></span></p> <ul> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Experience with lower-level programming languages - Rust, Java, C++.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Demonstrable background/coursework building data pipelines and/or machine learning applications from scratch.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Success in open-source projects</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Strong organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams</span></li> </ul> <p> </p> <ul> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;"><strong>Student Profile:</strong> This internship is for rising juniors, seniors, Master's students, or recent graduates, within 1 semester of graduation, who are authorized to work in the U.S.</span></li> <li style="font-family: tahoma, arial, helvetica, sans-serif;"><span style="font-family: tahoma, arial, helvetica, sans-serif;"><strong>Majors:</strong> We’re open to a wide range of majors like <strong>Statistics, Mathematics, Data Science,</strong> and <strong>Computer Science</strong>, but the most important thing is your passion for data and decision-making!</span></li> </ul> <h1><span style="font-family: tahoma, arial, helvetica, sans-s