Machine Learning Engineer (Synthetic Data)
Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by integrating generative models into large-scale training pipelines, diagnosing generation failures, and improving throughput. Work across simulation, 3D geometry, and multi-sensor data to enable training of driving models on scenarios with limited real-world data.