Senior Machine Learning Engineer
Core
Design, build, and deploy machine learning systems at scale to optimize ticket pricing, inventory, personalization, and fraud detection for millions of fans.
Role type
Senior Machine Learning Engineer (Production Systems & MLOps)
Builds
Production ML infrastructure, feature stores, model serving platforms, and real-time inference pipelines for the ticketing marketplace.
Domain
Ticketing industry, real-time pricing optimization, demand forecasting, fraud detection.
Deliverable
production ML models
Required skills
Python, ML frameworks (scikit-learn, TensorFlow, PyTorch), cloud platforms, containerization, batch and real-time ML systems, model serving, A/B testing, performance monitoring, MLOps.
Preferred skills
Product mindset, software craftsmanship, mentoring.
Technologies
Python, FastAPI, Go, C#, .NET Core, Postgres, Memcached, Redis, Elasticsearch, AWS (SageMaker, Redshift, ECS), Airflow, Gitlab, Datadog, Cursor, Github Copilot, Claude Code.
Responsibilities
Design and deploy reliable ML models at scale; build and maintain ML infrastructure; collaborate with data scientists and engineers to translate research into production; solve complex technical challenges in pricing and fraud detection; develop automated ML pipelines; evangelize ML capabilities across the product.
Seniority
Senior, hands-on IC
