[Remote] Machine Learning Platform Engineer

Note: The job is a remote job and is open to candidates in USA. PrizePicks is the fastest-growing sports company in North America, specializing in Daily Fantasy Sports. As a Machine Learning Platform Engineer, you will build and scale the ML platform to enhance core machine learning capabilities, directly impacting key metrics related to sports betting and daily fantasy ecosystems.ResponsibilitiesBuild 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 servicesReal-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 defaultsFeature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domainsEnd-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 instantlySkills3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments1+ years of experience owning ML systems end-to-end in production, including on-call and incident responseExperience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in 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 ElasticsearchProficient with Containerization, Docker, Kubernetes, and cluster-level managementExpert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layersExperience implementing infrastructure while enforcing best practices for the deployment of ML PlatformBackground in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency tradingExperience building and scaling 'Feature Stores' that successfully bridge batch historical data with real-time event streamsEnabling self-service for ML and Data Science teams for model development and deploymentEnabling AI agents and AI coding for faster and iterative software developmentBenefitsCompany-subsidized medical, dental, & vision plans401(k) plan with company matchAnnual bonusFlexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)Generous paid leave programs, including 16-week paid parental leave and disability benefitsWorkplace flexibility and modern work schedules focused on getting the job done, not hours clockedCompany-wide in-person events and team outingsLifestyle enhancement programCompany equipment provided (Windows & Mac options)Annual performance reviews with opportunities for growth and career developmentCompany OverviewPrizePicks is a mobile app platform that covers sports betting of leagues. It was founded in 2015, and is headquartered in Atlanta, Georgia, USA, with a workforce of 501-1000 employees. Its website is https://prizepicks.com.