6 open remote positions
At Underdog, they make sports more fun, building multiple games and products across fantasy sports, sports betting, and prediction markets.
Build the backbone of Underdog’s data ecosystem by designing and deploying internal APIs and workflows. Create robust, scalable microservices to serve real-time, high-volume data needs. Own greenfield projects that shape the future, architecting backend systems for scale, resilience, and speed. Safeguard system reliability by building smart monitoring, alerting, and logging tools.
As a Machine Learning Engineer on the Data Engineering team, you’ll partner closely with the Data Science team to build out our foundational Machine Learning platform. You will build internal tools and services to accelerate UD’s model building and deployment process. You will lead technical initiatives, and drive results in a fast-paced, dynamic environment and lead code reviews to maintain code and data quality.
Work on cutting edge projects focused on gamifying and building unique features into fantasy and sports betting products. Design and develop clean, well-structured, and performant features your work will be used by millions of our customers. Collaborate with client engineers and product stakeholders from start to finish, openly communicating issues, asking clarifying questions, and raising concerns when needed.
This is an on-going, contract position where you will manage calendars for executive stakeholders and oversee executive inboxes. You'll track key action items, serve as a liaison between executives and internal/external partners, and coordinate team processes and logistics.
Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation. Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention. Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models.
Work on cutting edge projects focused on gamifying and building unique features into our fantasy and sports betting products. Design and develop clean, well-structured, and performant features to be used by millions of customers. Collaborate with client engineers and product stakeholders from start to finish, openly communicating issues, asking clarifying questions, and raising concerns when needed.