Full Job Description
We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production-ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies.
Key job responsibilities
As an Applied Scientist, you will have end-to-end ownership of the product, related research and experimentation. In addition, you will be applying advanced machine learning techniques in Computer Vision, Multimedia Understanding and Generative AI.
We're building the foundational technology stack, spanning diffusion and flow-matching models, 3D/4D scene and character generation, motion and camera control, and post-training alignment. Other responsibilities include:
- 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
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in generative models (diffusion, flow, transformers)
- Hands-on experience with image/video synthesis and editing techniques
- Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)
- Experience with controllable generation methods, including emerging approaches (familiarity with LoRA/ControlNet, parameter-efficient tuning, or test-time training a plus)
- Expertise in one or more of: harmonization, relighting, style transfer, lip-sync, segmentation, matting, depth estimation, 3D camera/scene modeling.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Culver City - 142,800.00 - 193,200.00 USD annually
USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually
USA, NY, New York - 172,400.00 - 223,400.00 USD annually