PrizePicks
Sports
MachineLearningPlatformEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Platform Engineer at PrizePicks. Skills: ML Platform, MLOps, Real-Time Inference, Feature Stores. Build Scalable ML Systems. Design ML infrastructure”
What You'll Achieve.
Impact Time-to-Bet; Impact Deposit Velocity; Impact Platform Integrity
Industry & Context.
On-call, Incident response
What They're Looking For.
Must Have
3+ years Platform Engineering, 1+ years owning ML systems, 1+ years on-call, 1+ years incident response, Experience with streaming architectures, Experience building low-latency services, Proficient with Containerization, Proficient with Docker, Proficient with Kubernetes, Expert in Python, Proficiency in Go
Nice to Have
C++, or Rust, Experience implementing infrastructure, Experience enforcing best practices, Background in DFS, Background in oddsmaking, Background in high-frequency trading, Experience building Feature Stores, Enabling self-service for ML, Enabling self-service for Data Science, Enabling AI agents, Enabling AI coding
What You'll Do.
Build Scalable ML Systems
Design ML infrastructure
Build production services
Build automation for deploying services
Serve model inferences
Lead feature store creation
Optimize feature store
Build ML platform components
Operate ML platform components
Champion model deployment practices
Champion monitoring practices
Champion CI/CD for ML
Implement automated retraining pipelines
Implement observability for ML systems
Address model degradation
How You'll Work.
Team & Collaboration
Infrastructure team; Data Science teams; ML teams
Full Job Description
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? As a ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems. What you’ll do: Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services. Real-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults. Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains. End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly. What you have: 3+ years of experience in Platform Engineering, wit
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