Director, Applied Machine Learning

Applied ML and Business Alignment:

• Partner with teams to identify where ML can drive value.
• Translate business problems into clear modeling objectives.

Ranking, Curation, and Personalization:

• Lead the development of ranking, filtering, and personalization models.
• Own modeling approaches, feature strategy, and evaluation metrics.

LLM and Advanced Modeling Applications:

• Apply LLMs to use cases such as semantic understanding and content generation.
• Evaluate emerging tools and techniques for clear benefit.

Team Leadership and Craft Excellence:

• Manage and mentor applied ML practitioners.
• Set high standards for modeling rigor and experimentation discipline.