PrizePicks · 1 month ago
Machine Learning Platform Engineer
United States
Full-time
Remote
Mid Level
$135K/yr - $160K/yr
3+ years expPrizePicks is the fastest-growing sports company in North America, recognized for its innovative Daily Fantasy Sports platform. As a ML Platform Engineer, you will build and scale the ML platform to enhance core machine learning capabilities, impacting key metrics in the sports betting and fantasy ecosystems.
SportsGamingFantasy Sports
No H1B
Responsibilities
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
Qualification
Required
3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments
1+ years of experience owning ML systems end-to-end in production, including on-call and incident response
Experience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms
MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Managing and scaling caches like Redis or Elasticsearch
Proficient with Containerization, Docker, Kubernetes, and cluster-level management
Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers
Preferred
Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform
Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading
Experience building and scaling 'Feature Stores' that successfully bridge batch historical data with real-time event streams
Enabling self-service for ML and Data Science teams for model development and deployment
Enabling AI agents and AI coding for faster and iterative software development
Benefits
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
Company
PrizePicks
PrizePicks is a mobile app platform that covers sports betting of leagues.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$0.85MKey Investors
Phoenix Capital Ventures (PCV)
2025-09-22Acquired
2021-12-01Series A
2020-07-08Seed· $0.85M
Leadership Team
Jay Deuskar
Cofounder/Chief Technology Officer
Marcus Sanford
Chief Financial Officer
Recent News
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