Machine Learning Platform Engineer

About The Company PrizePicks is a rapidly expanding sports entertainment company recognized as one of the fastest-growing in North America by Inc. 5000. As a premier platform for Daily Fantasy Sports (DFS), we cater to a broad spectrum of sports leagues, including the NFL, NBA, and Esports titles such as League of Legends and Counter-Strike. Our dynamic team of over 550 employees is committed to fostering an inclusive culture that values diversity and individuality, regardless of sports fandom levels. We are dedicated to transforming the DFS industry by innovating and reimagining user experiences, leveraging cutting-edge technology, and maintaining a customer-centric approach. About The Role We are seeking a skilled Machine Learning Platform Engineer to join our team. In this pivotal role, you will be instrumental in developing and scaling our machine learning platform to enhance core capabilities across our sports betting and daily fantasy ecosystems. Your expertise will help optimize key performance metrics such as Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating low-latency, robust machine learning models into our systems. You will collaborate closely with cross-functional teams to build scalable ML infrastructure, automate deployment processes, and ensure high availability and performance of ML services in a high-traffic environment. This role offers an exciting opportunity to directly influence the technological backbone of PrizePicks and contribute to our mission of redefining the DFS industry through innovation and excellence. Qualifications 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable ML platforms in high-traffic production environments1+ years of experience owning end-to-end ML systems in production, including incident response and on-call responsibilitiesProficiency with real-time data streaming architectures such as Kafka, Flink, or PubSubExpertise in building low-latency services for model inferenceExtensive experience with MLOps tools and managing the full ML lifecycle using platforms like SageMaker, VertexAI, and managing feature storesHands-on experience with managing and scaling caches such as Redis or ElasticsearchProficiency with containerization technologies like Docker and Kubernetes, including cluster managementStrong programming skills in Python and proficiency in Go; knowledge of C++, Rust is a plusExperience in developing automated retraining pipelines, model monitoring, and observability practices Responsibilities Design and develop scalable, reliable ML infrastructure to support experimental and production modelsBuild automation for deploying low-latency inference services serving models in millisecondsLead feature engineering efforts and develop a centralized feature store to support complex models across various domainsCollaborate with infrastructure teams to build and maintain core ML platform components for training, experimentation, and deploymentImplement best practices for model deployment, monitoring, and CI/CD pipelines for ML systemsDevelop automated pipelines for model retraining, data drift detection, and system observabilityEnsure high availability, performance, and security of ML services in a high-traffic environmentParticipate in incident response and troubleshooting for ML systems, ensuring minimal downtime and optimal performance Benefits Company-subsidized medical, dental, and vision insurance plans401(k) plan with company matching contributionsAnnual performance bonusesFlexible paid time off to promote work-life balance, with a recommended minimum of two weeksGenerous paid parental leave and disability benefitsFlexible work schedules and workplace flexibility to accommodate individual needsParticipation in company-wide events, team outings, and social activitiesLifestyle enhancement programs and wellness initiativesProvision of necessary work equipment, including Windows and Mac optionsOpportunities for professional growth, development, and career advancement through regular performance reviews Equal Opportunity PrizePicks is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive environment and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. All employment decisions are made based on qualifications, merit, and business needs.