Head of Applied Machine Learning

The role

This person will lead the development and application of machine learning and LLM-powered models to drive business impact. They will work on ranking, filtering, and personalization systems alongside LLM-based techniques.

What you will do

• Partner with Product, Marketing, Operations, and other teams to identify where ML can drive measurable value
• Translate business problems into clear modeling objectives, metrics, and experimentation plans
• Lead the design, development, and iteration of ranking, filtering, and personalization models
• Own modeling approaches, feature strategy, evaluation metrics, and experimentation
• Apply LLMs and hybrid ML techniques to use cases such as semantic understanding and content generation
• Establish best practices for testing, deploying, and monitoring LLM-powered models
• Manage and mentor applied ML practitioners
• Set high standards for modeling rigor, experimentation discipline, and production readiness
• Collaborate with ML engineering and platform teams for scalable deployment

Required qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 6+ years of experience building and deploying production machine learning models
• Demonstrated experience owning ranking, recommendation, or personalization systems
• Strong foundation in applied ML techniques such as learning-to-rank, embeddings, gradient boosting, and neural networks
• Hands-on experience working with LLMs, including prompt engineering, fine-tuning, retrieval-augmented generation, and evaluation
• Solid software engineering skills and experience working within modern data and ML stacks
• Proven ability to work cross-functionally and influence without relying on hierarchy

Nice to have

• advanced degree

About the company

Gametime makes it easy for people to discover and access live experiences. They have platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada.