Senior Machine Learning Engineer
Senior Machine Learning Engineer
Senior Machine Learning Engineer
SeatGeek
SeatGeek is seeking a Senior Machine Learning Engineer to join their innovative team focused on transforming the ticketing industry. The role involves designing and deploying machine learning models and infrastructure that enhance user experience and optimize business processes. Candidates should have a strong background in software engineering and machine learning, with a passion for building scalable systems.
Qualification
- 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps
- Experience building and deploying machine learning systems in production environments
- 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
- Passion for software craftsmanship and product
Responsibility
- 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
- 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
- Evangelize ML capabilities and integrate them into SeatGeek's core product offerings
