Job Url: https://www.remoterocketship.com/company/prizepicks/jobs/machine-learning-engineer-united-states-remote Job Description: PrizePicks Website LinkedIn All Job Openings PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting. Spectator Sports 201 - 500 employees 🎮 Gaming ⚽ Sports Machine Learning Engineer 5 days ago 🇺🇸 United States – Remote 💵 $145k - $175k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer Airflow BigQuery Cloud Docker Google Cloud Platform Grafana Kubernetes NoSQL Postgres Prometheus Python PyTorch Redis Rust Scikit-Learn SQL Tensorflow Terraform Go Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines. • Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability. • Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. • Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform. • Build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime. • Grow as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike. 🎯 Requirements • 3+ years of experience in Backend Engineering/Machine Learning Engineering, shipping and maintaining production-grade systems for internal tools and product users. • Experience exposing real-time predictive model outputs to production-grade systems, leveraging large-scale cloud-based data streaming pipelines and infrastructure. • Experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. • Experience in most of the following: • SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, • Scripting languages: SQL, Python, Go, Rust. • Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine. • Code version control: Git • Code testing libraries: PyTest, PyUnit, etc • Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow • Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models. • MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. • Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. • Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. • Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. • Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash. • Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams • Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field 🏖️ 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