Role Overview We’re seeking an AI/ML Engineer focused on simulation, synthetic data generation, and scenario replication. This role involves exploring and evaluating state-of-the-art generative models, building simulation pipelines, and producing high-quality synthetic datasets across images, video, audio, and multimodal inputs. You’ll work on transforming existing real-world samples into diverse, simulated environments (lighting, weather, backgrounds, noise conditions, poses, domains, etc.) and scaling data generation pipelines. The ideal candidate is passionate about generative AI, dataset creation, and model-driven simulation. Key Responsibilities • Research, evaluate, and benchmark generative and diffusion-based models (Stable Diffusion, Sora-like models, GANs, NeRFs) for simulation and synthetic data generation. • Build pipelines to replicate images/videos across new environments, lighting, scenes, poses, and object conditions. • Develop multimodal prompt-based simulation workflow...