Found Description
Key Responsibilities
- Develop AI Agents in Simulation Implement and train reinforcement learning agents capable of perceiving and acting within virtual environments.
- Build Human-Centric Agents Integrate vision-language models (VLMs) to create agents that can understand both images and text, and behave in human-like ways.
- Generate Synthetic Data Develop tools to generate synthetic data and scenario variations within simulation environments for AI training and evaluation.
- Experiment and Evaluate Conduct experiments using state-of-the-art and in-house AI models, analyze performance, and iterate based on findings.
- Test and Optimize Support performance benchmarking, debugging, and optimization of models and simulation systems.
- Document and Share Knowledge Clearly document methodologies, results, and learnings in code, reports, or presentations to ensure continuous team l...