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Agent Evaluation & Evolution Machine Learning Engineer Intern (AML-Ark-US) - 2027 Summer

Summary

Develops and refines automated evaluation systems for LLM agents by analyzing execution traces, user feedback, and designing benchmarks to improve AI agent performance in production environments.

- Analyze agent execution traces and user feedback - Bring research methods into production - Build benchmarks and automated judging pipelines - Design evaluation systems for LLM agents - Improve systems using feedback loops Perks/Benefits: - Health insurance - Housing allowance - Life insurance - Paid Holidays - Paid sick time - Wellbeing benefits

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