Machine Learning Engineer, PhD Intern

📋 Description

• Work on query understanding using AI and LLMs.
• Improve search relevance using signals from behavior and catalog data.
• Develop generative recommendations across retrieval and ranking.
• Build LLM evaluation frameworks (LLM-as-a-Judge, self-critique).
• Research low-latency, scalable LLM systems for production.
• Build knowledge graphs over the catalog for LLM reasoning.

🎯 Requirements

• Ph.D. student in CS, math, stats, econ, or related fields.
• Strong programming in Python and Go (Golang) and algorithms.
• Solid foundations in ML, algorithms, or optimization.
• Curious, self-motivated with open-ended problems.

🎁 Benefits

• Flexible work location: remote, office, or hybrid.
• Regular in-person events to build community.
• Flex First remote work policy.
• Comprehensive benefits vary by location.