PrizePicks is looking to enable real-time simulation-based market pricing within their product by developing, maintaining, testing, and leading projects regarding streaming data and MLOps infrastructures.
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 SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable
- Experience in Scripting languages: SQL, Python, Go, Rust.
- Experience in Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine.
- Experience in Code version control: Git
Responsibilities
- 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.
Other
- 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
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.
- You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
- All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
