Agent Evaluation & Evolution Machine Learning Engineer Graduate (AML-Ark-US) - 2027 Start
San Jose, California, United States
USD 128K-256K Entry-level Full Time
Tasks
- Analyze agent execution traces
- Build LLM benchmark datasets
- Collaborate with research platform and product teams to deploy methods
- Design LLM agent evaluation systems
- Develop automated judging pipelines
- Extract failure patterns from logs
- Implement closed loop feedback optimization
- Improve system reliability and alignment
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
Agent systems | Benchmarking | Data Pipelines | Deep learning | Evaluation methodology | Fine Tuning | Language Models | Language Processing | Large Language Models | Log Analytics | Machine Learning | Model Fine-tuning | Model Inference | Model Training | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | Statistical Analysis | Tool-Calling
Education
Regions
Countries
States
Cities
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