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 learning. Collaborate Across Teams
Work closely with engineers, researchers, and other stakeho...