Applied Scientist, Generative AI and Synthetic Data
Core
Develop generative models and 3D simulation pipelines to create synthetic data for training AI in Amazon's devices (wearables, smart home, streaming), ensuring physical plausibility and multimodal coherence.
Role type
Senior Applied Scientist (Generative AI & Synthetic Data)
Builds
Synthetic data pipelines, physics-based digital twins, and simulation methods for video, audio, and 3D modalities.
Domain
Consumer Electronics / Generative AI / Computer Vision / Physics-based Simulation
Deliverable
production ML models
Required skills
Deep learning algorithms, computer vision, generative models, 3D spatial understanding, experiment design, statistical analysis
Preferred skills
Generative deep learning (CNNs, GANs, VAEs, NF), top-tier conference publications
Technologies
Java, C++, Python, MxNet, Tensor Flow
Responsibilities
Develop and fine-tune generative models and 3D simulation pipelines; design training recipes combining synthetic and real data; build evaluation methods to predict synthetic data impact; model structured rule-governed activity for spatial fidelity; validate work via production model improvement and mentor junior scientists.
Seniority
Senior, hands-on IC with technical lead scope
