Senior MLOps Engineer
TRM LabsFull Time
Senior (5 to 8 years)
Candidates should possess 3+ years of professional experience as a Machine Learning Engineer or in a similar role, along with a background in Computer Science, Data Science, Engineering, or a related technical field. Strong programming skills in Python and SQL are required, with bonus experience in Go, Rust, Scala, R, or C++. Experience with Docker, Kubernetes, Terraform, and scalable deployment tools is also necessary.
As a Machine Learning Engineer, you will build and optimize end-to-end machine learning pipelines from data ingestion to deployment, working closely with Product, Marketing, and Operations teams to align ML solutions with business goals. You will improve our ML platform and deploy infrastructure using MLOps best practices, evaluate and integrate new tools, models, and frameworks, and clearly communicate technical concepts to stakeholders while documenting systems and workflows using Git, Confluence, and related tools. You will also be instrumental in crafting the next generation of user experiences by designing, building, and deploying sophisticated machine learning models and infrastructure that directly impact how users discover content, engage with our community, and explore the full spectrum of Penn Entertainment’s offerings, specifically focusing on personalized recommendation engines, chat toxicity detection, cross-sell propensity modeling, and dynamic personalization.
Develops online sportsbooks and casino games
Penn Interactive specializes in developing online sportsbooks, casinos, and free-to-play gaming experiences, utilizing cutting-edge technologies to deliver immersive sports betting experiences and enhance the overall gaming experience. The company leverages advanced technologies to provide a seamless and engaging gaming experience, including innovative features for sports betting and casino gaming.