Backed by Accel and GV.
About the role
Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across product, marketing, operations, and other key functions. This role is ideal for a hands-on, applied ML leader who thrives at the intersection of modeling excellence and business understanding.
What they're looking for
- An experienced applied ML practitioner with a track record of delivering production models that move business metrics
- Deeply comfortable owning ranking, recommendation, and curation problems from framing through iteration in production
- Experienced applying both classical ML techniques and LLM-based approaches with strong technical judgment
- A player-coach who can review code, guide modeling decisions, and mentor ML practitioners
- Business-oriented, seeking context, tradeoffs, and outcomes rather than purely technical elegance
- Comfortable managing multiple initiatives across stakeholders and timelines
More about this role
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.
With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.
Gametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across product, marketing, operations, and other key functions. This role is ideal for a hands-on, applied ML leader who thrives at the intersection of modeling excellence and business understanding. You will work closely with Product, Data, Engineering, and business partners to identify high-value opportunities, translate them into well-defined modeling problems, and deliver production-ready solutions. A core focus of this role will be curation, including ranking, filtering,...
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