Agent Evaluation & Evolution Machine Learning Engineer Intern (AML-Ark-US) - 2027 Summer
Seattle, Washington, United States
USD 162K-316K (estimate) Entry-level Internship
Tasks
- Analyze agent execution traces and user feedback
- Build LLM benchmarks and automated judging pipelines
- Collaborate with research and product teams to deploy methods
- Design LLM agent evaluation systems
- Improve agent system reliability using feedback loops
Perks/Benefits
Skills/Tech-stack
Benchmarking | Data Analysis | Deep learning | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Evaluation | Natural Language | Natural Language Processing | Prompt engineering | Python
Education
N/A
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