Machine Learning Internship - Spring 2027

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?
Join the Team: Machine Learning Intern
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
Student Profile: 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.
Majors: We’re open to a wide range of majors like Statistics, Mathematics, Data Science, and Computer Science, but the most important thing is your passion for data and decision-making!
Where you’ll work:
Our interns work onsite at our West Midtown Atlanta location.
Spring Program: January 25 - April 30, 2026
Included perks:
Housing stipend for those interns relocating to Atlanta
Frequent catered lunches
Networking and collaboration with fellow interns and industry professionals
Social events with the Atlanta PrizePicks team
PTO and Paid Holidays
Working at PrizePicks:
Engineering interns' starting hourly rate is $35. 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.
Benefits you’ll receive:
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 opt