
eCommerce • Entertainment • Sports
Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.
201 - 500 employees
🛍️ eCommerce
âš˝ Sports
July 6
🇺🇸 United States – Remote
đź’µ $195k - $230k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor

eCommerce • Entertainment • Sports
Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.
201 - 500 employees
🛍️ eCommerce
âš˝ Sports
• The Machine Learning team is responsible for designing, developing, and deploying cutting-edge AI/ML solutions, owning the full lifecycle from ideation to production. • In this role, you will work closely with the ML Platform and Data Science teams to maximize the impact of ML across every area of the business. • This is an opportunity to join a growing team and help shape its future direction.
• Proven experience in the end-to-end development and deployment of machine learning solutions, including successfully transitioning models to production environments. • Strong programming proficiency, particularly in Python and SQL, coupled with a solid understanding of software engineering best practices and principles as applied to machine learning system development. • Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with MLOps practices. • Hands-on experience with key machine learning frameworks and libraries (e.g., PyTorch, Scikit-Learn, XGBoost) and expertise in relevant AI subfields such as Deep Learning, Natural Language Processing (NLP), and Computer Vision • Familiarity with Large Language Models (LLMs) and other advanced AI tools, including potential applications of AI agents, and a strong interest in staying updated on the latest developments in the field. • Ability to collaborate effectively across teams and communicate with key stakeholders • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility
• Flexible PTO • Competitive salary & equity package • Monthly Gametime credits for any event ($1,200/yr) • Medical, dental, & vision insurance • Life insurance and disability benefits • Diverse Family-forming benefits through Carrot Fertility • 401k, HSA, pre-tax savings programs • Company off-sites and meet-ups • Wellness programs • Tenure recognition
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