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SeatGeek
Senior Machine Learning Engineer
Remote · USA · Full time · Senior level
$145k–$209k / year
About the role
Design and deploy scalable machine learning models and infrastructure impacting millions of users. Collaborate with cross-functional teams to translate research into production-ready ML systems.
What you’ll do
• Design and deploy ML models and systems at scale. • Build and maintain ML infrastructure and pipelines. • Collaborate with data scientists and engineers. • Solve technical challenges in pricing and fraud detection. • Develop automated ML pipelines using MLOps best practices.
What you’ll bring
• Experience deploying ML systems in production. • 4+ years software engineering, 2+ in ML systems. • Strong Python and ML framework skills. • Experience with cloud and containerization. • Understanding of batch and real-time ML systems.
Life at SeatGeek
Equity stake, annual bonus, flexible remote work, unlimited PTO, family leave, 401(k) matching, health and wellness benefits, event tickets, music subscriptions.
About SeatGeek
SeatGeek is a technology innovator disrupting the $300 billion ticketing industry with fan-first, modernized live event experiences.