Senior Machine Learning Engineer

September 13

Apply Now

Receive Emails with Similar Jobs

SeatGeek

WebsiteLinkedInAll Job Openings

eCommerce • Entertainment • Sports

SeatGeek is a mobile-focused ticket platform that allows users to buy and sell tickets for live events such as sports, concerts, and theater performances. With an easy-to-use interface, SeatGeek integrates event listings, ticket purchasing, and resale in one place. The platform enhances the user's experience by offering personalized recommendations and insights into event trends. Furthermore, SeatGeek provides a comprehensive array of listings for major sports, music, and entertainment events, positioning itself as a go-to source for fans seeking tickets. The company's operations and offerings emphasize a seamless experience in accessing and enjoying live entertainment.

501 - 1000 employees

Founded 2009

🛍️ eCommerce

⚽ Sports

💰 $238M Series E on 2022-08

📋 Description

• 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

🎯 Requirements

• Experience building and deploying machine learning systems in production environments (including scale and business impact) • 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 • Passion for software craftsmanship and product; hold yourself and your code to a high standard • A product mindset considering user experience, business impact, and system reliability • Commitment to your teammates; enjoy mentoring and learning from others

🏖️ Benefits

• Equity stake • Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely • A WFH stipend to support your home office setup • Unlimited PTO • Up to 16 weeks of fully-paid family leave • 401(k) matching program • Student loan support resources • Health, vision, dental, and life insurance • Up to $25k towards family building and reproductive health services • Gender-affirming care support program • $500 per year for wellness expenses • Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical • $120 per month to spend on tickets to live events • Annual subscription to Spotify, Apple Music, or Amazon music