- Calabasas, California, United States
- Internship · Intern
- $51–$56
Design, build, and evaluate an agentic flow for engineering modeling and optimization workflows.
Compensation
CA Pay Range: (PhD) $51-$56
Responsibilities
- Build an agentic flow that configures data preparation, model training, and optimization for a new use case with minimal input from the user.
- Develop tool integrations connecting the agent to simulation, data, optimization, and analysis systems.
- Implement autonomous data analysis so the agent can characterize an unfamiliar dataset and choose an appropriate setup.
- Build explainability into the flow, including why a configuration was chosen, what the resulting model depends on, and how confident it is.
- Design guardrails such as validation before expensive runs, bounded actions, and compute budgets so failures are cheap and visible.
Requirements
- PhD in Machine Learning
- PhD in Computer Science
- PhD in Electrical or Electronic Engineering
- PhD in Applied Mathematics
- Nice to have: industry experience shipping agent or LLM-based systems to real users