Lead, Applied ML & Personalization

GameTime; United States; Remote; USD 292,000 - 344,000; Full time

Job summary

Gametime is seeking a Head of Applied Machine Learning to lead production ML models, ranking, and personalization across the platform. This hands-on leader will collaborate with Product, Data, and Engineering to translate business problems into robust ML solutions that move key metrics.

The role requires 6+ years of ML experience, strong ranking and LLM expertise, and a track record of mentoring teams while delivering business impact in a fast-paced environment.

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

Responsibilities

• Identify where ML can drive measurable value across product, marketing, operations, and other teams
• Translate business problems into clear modeling objectives, metrics, and experimentation plans
• Ensure ML efforts remain tightly aligned with business priorities and user impact
• Lead the design, development, and iteration of ranking, filtering, and personalization models across Gametime surfaces
• Own modeling approaches, feature strategy, evaluation metrics, and offline/online experimentation
• Balance relevance, revenue, and user trust in ranking solutions
• Apply LLMs and hybrid ML techniques to use cases like semantic understanding and content generation
• Establish best practices for testing, deploying, and monitoring LLM-powered models in production
• Manage and mentor applied ML practitioners and collaborate with ML engineering teams

Skills

Ranking systems

Personalization

ML modeling

LLMs

Prompt engineering

Cross-functional leadership

Software engineering

Production ML

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

LLMs

Retrieval-augmented generation

Job description

Gametime is seeking a Head of Applied Machine Learning to lead production ML models, ranking, and personalization across the platform. This hands-on leader will collaborate with Product, Data, and Engineering to translate business problems into robust ML solutions that move key metrics.

The role requires 6+ years of ML experience, strong ranking and LLM expertise, and a track record of mentoring teams while delivering business impact in a fast-paced environment.