Senior Machine Learning Engineer

Description du poste

You will join a group that bridges the gap between research and production-ready ML systems Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value Design, build, and deploy machine learning models and systems that operate reliably at scale in production Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek’s core product offerings Our stack: You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core Datastores: Postgres, MemcachedRedis, Elasticsearch Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration Version control: Gitlab AI Tooling: Cursor, Github Copliot, Claude Code Observability: Datadog Benefits Benefits: We provide access to high-quality health insurance coverage, ample paid time off, and a matching 401k program. Parental leave: Congrats on welcoming a bundle of joy into your life! We offer 16 weeks of l

Annonce publiée sur Welcome to the Jungle et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.