Machine Learning Engineer Intern - Fall 2025

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 450 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? 

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.

What you'll do:

• 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.

What you have:

• 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
• Interest in sports and fantasy sports markets.

What makes you stand out:

• 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
• Strong organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams

• This is a hybrid position based at our PrizePicks headquarters in West Midtown Atlanta, with in-office work a minimum of 3 days per week. #LI-Hybrid 

The typical salary range for this position is $35.00/hr - $38.00/hr. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. 

In addition to your great compensation package, full-time employees will be eligible for the following perks: 

• Company-subsidized medical, dental, & vision plans 
• 401(k) plan with company match
• Annual bonus
• Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.