Senior Machine Learning Engineer

Responsibilities

• 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
• What you have
• Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven
• 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps
• Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar

Languages