[Remote] Staff Machine Learning 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, recognized for its leading platform for Daily Fantasy Sports. As a Staff Machine Learning Engineer, you will lead the development of scalable machine learning systems that enhance key metrics across sports betting and fantasy ecosystems.ResponsibilitiesArchitect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production servicesReal-Time Inference at Scale: Steer the design and deployment of 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: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domainsEnd-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantlySkills7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platformsExperience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inferenceMLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMakerStrong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layersCloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalentsExperience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detectionBackground 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 streamsBenefitsCompany-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.