Research Engineer – Synthetic Data for Vision

Vision understanding is a critical addition to conversational AI, bridging the gap between speech and the physical world. We’re looking for a skilled engineer or researcher to build high-value synthetic data pipelines that accelerate vision model development. The ideal candidate will be fluent in classical computer vision techniques while also comfortable leveraging modern machine learning tools across the stack: from neural rendering and diffusion-based image synthesis to transfer learning, domain adaptation, and data-centric evaluation. You’ll collaborate with research, hardware, and product teams to build capture, generation, and rendering systems that combine physical accuracy with visual realism—delivering datasets and simulators that measurably improve downstream computer vision tasks.