Machine Learning Engineer (Synthetic Data)
Build and scale next-generation world models to generate high-fidelity synthetic data for autonomous driving systems. Bridge research and engineering by integrating synthetic data into training pipelines, improving realism and throughput. Work on generative architectures like GAIA, diagnose 3D geometry failures, and enable training for vehicles with minimal real-world data.