Senior Lead, Applied ML & Personalization

United States Digital Space LLC; United States; Remote; USD 140,000 - 230,000; Full time

Job summary

Gametime seeks a Head of Applied Machine Learning to lead production ML models that enhance business metrics and customer experience. You will own ranking, filtering, and personalization systems, while guiding the team from framing problems to production deployment.

You will integrate LLM-based approaches with strong product sense and cross-functional collaboration. As a hands-on leader, you will mentor practitioners, set rigorous standards, and align ML initiatives with product priorities,

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 6+ years of experience building and deploying production machine learning models.
• 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

• 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.
• 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's product surfaces.
• Own modeling approaches, feature strategy, evaluation metrics, and offline and online experimentation.
• Balance relevance, revenue, and user trust when evolving ranking solutions.
• Apply LLMs and hybrid ML techniques to use cases such as semantic understanding, intent detection, content generation, and internal workflows.
• Evaluate emerging tools and techniques, recommending pragmatic adoption where they provide clear benefit.
• Establish best practices for testing, deploying, and monitoring LLM-powered models in production.
• Manage and mentor applied ML practitioners, supporting growth in technical depth and business impact.
• Set high standards for modeling rigor, experimentation discipline, and production readiness.
• Collaborate closely with ML engineering and platform teams to ensure scalable and reliable deployment.

Skills

Ranking models

Recommendation

Personalization

Applied ML

LLMs

Prompt engineering

Neural nets

Software engineering

Cross-functional leadership

Education

Bachelor's degree in CS/Engineering

Tools

PyTorch

TensorFlow

Spark

Airflow

Job description

Gametime seeks a Head of Applied Machine Learning to lead production ML models that enhance business metrics and customer experience. You will own ranking, filtering, and personalization systems, while guiding the team from framing problems to production deployment.

You will integrate LLM-based approaches with strong product sense and cross-functional collaboration. As a hands-on leader, you will mentor practitioners, set rigorous standards, and align ML initiatives with product priorities,