Head of Applied ML & Personalization

Gametime; San Francisco (CA); On-site; USD 292,000 - 344,000; Full time

Job summary

Gametime is seeking a Head of Applied Machine Learning to lead the development and deployment of ML 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

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 6+ years of experience building and deploying production machine learning models.
• Experience owning ranking, recommendation, or personalization systems.
• Strong foundation in 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 with 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 experiments.
• Ensure ML efforts remain tightly aligned with business priorities and user impact.
• Lead the design, development, and iteration of ranking, filtering, and personalization models.
• Own modeling approaches, feature strategy, evaluation metrics, and experiments.
• Balance relevance, revenue, and user trust when evolving ranking solutions.
• Apply LLMs and hybrid ML techniques to semantic understanding, content generation, and internal workflows.
• Establish best practices for testing, deploying, and monitoring LLM-powered models in production.
• Manage and mentor applied ML practitioners and promote technical excellence.
• Collaborate with ML engineering and platform teams for scalable deployment

Skills

Ranking systems

Recommendation systems

LLM techniques

Leadership

Education

Bachelor's degree in CS or related field

Job description

Gametime is seeking a Head of Applied Machine Learning to lead the development and deployment of ML 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