Sr. Applied Scientist, Prime Video - Generative AI

Key job responsibilities

• Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia
• Innovate in advanced diffusion and flow-based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test-time adaptation) to improve efficiency, controllability, and scalability.
• Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre-visualization, compositing, VFX, and post-production pipelines.
• Design multimodal GenAI workflows including visual-language model tooling, structured prompt orchestration, agentic pipelines.

Basic Qualifications

• 3+ years of building machine learning models for business applications experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.