Head of Applied Machine Learning
Core
Lead the development and application of machine learning and LLM-powered models to drive business impact across product, marketing, and operations, with a core focus on ranking, filtering, and personalization systems.
Role type
Head of Applied Machine Learning (Hands-on IC with leadership)
Builds
Production-ready ranking, curation, and personalization models; LLM applications for semantic understanding, intent detection, and content generation
Domain
Event ticketing / Live experiences
Deliverable
production ML models
Required skills
ranking and recommendation systems, LLM fine-tuning and prompt engineering, learning-to-rank, gradient boosting, neural networks, experimentation design, software engineering
Preferred skills
advanced degree in CS/Engineering, experience with retrieval-augmented generation, cross-functional stakeholder management
Technologies
modern data and ML stacks, LLM frameworks
Responsibilities
Partner with Product and Marketing to identify high-value ML opportunities; Design and iterate ranking and personalization models; Apply LLMs to use cases like intent detection and content generation; Mentor applied ML practitioners and set standards for modeling rigor
Seniority
Senior, hands-on IC with team leadership
