Senior Machine Learning Engineer

Experience building and deploying machine learning systems in production environments 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 Experience with cloud platforms and containerization technologies Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring

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