AI Research Student
Core
Define and implement metrics to measure the stability, accuracy, and reliability of a production AI Copilot for robotic manufacturing simulations.
Role type
AI Research Student (IC)
Builds
Production AI Copilot (PSCoPilot) for robotic manufacturing simulations
Domain
Industrial robotics, simulation, and manufacturing
Deliverable
production ML models
Required skills
Python, LLM orchestration (LangChain), statistical analysis, experiment design, LLM evaluation techniques, prompt engineering, AI agent architectures
Preferred skills
AI observability platforms (Langfuse, LangSmith), robotics/simulation domain knowledge, MCP (Model Context Protocol), multi-agent systems
Technologies
LangChain, AWS Bedrock, Azure OpenAI, Langfuse, MCP
Responsibilities
Design evaluation frameworks for AI agents in safety-critical environments; Build observability and tracing pipelines; Analyze failure modes and hallucination patterns; Develop automated regression and benchmark pipelines; Conduct statistical analysis on Copilot interactions; Research grounding techniques to reduce errors in high-precision domains
Seniority
Student (Master's or Bachelor's)
