Establish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation.
Build out core AI quality building blocks that can be reused across different teams and surface areas.
Own search & retrieval quality, both for AI applications as well as other use cases.
Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products.
Work closely with platform engineering to scale our capabilities.
Requirements
Significant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies.
Excellent software engineering skills; experience working in teams that built and operated production systems
Excellent communication skills, both written and verbal.
Ability to roll up your sleeves and build team, processes, and technology from the ground up.
A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields.
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