Drimva

Amazon

Applied Scientist, Prime Video - Generative AI (Video)

$143K–$223K

Culver City, CA +2 · Full-time · Posted Sep 1, 2026

Location
Culver City, CA
Sunnyvale, CA
New York, NY
Experience
3+ years building models for business application; alternatively, PhD or Master's degree and 4+ years of CS, CE, ML or related field experience.
Education
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.

About the job

Researches and builds production-ready generative AI systems for controllable media creation, including video, images, and multimedia workflows.

What you'll do

  • Develop generative models and diffusion or flow-based methods for controllable media synthesis.
  • Advance visual grounding, depth and 3D estimation, segmentation, and matting for production pipelines.
  • Design multimodal generative AI workflows using visual-language tools, structured prompts, and agentic pipelines.

What they ask for

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience programming in Java, C++, Python or related language.
  • 3+ years of building models for business application experience.
  • Experience in generative models (diffusion, flow, transformers) and hands-on experience with image/video synthesis and editing techniques.

Nice to have

  • Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR).
  • Experience with controllable generation methods, including familiarity with LoRA/ControlNet, parameter-efficient tuning, or test-time training.

Pay

142,800.00 - 193,200.00 USD annually (base salary); 171,600.00 - 222,200.00 USD annually (base salary); 172,400.00 - 223,400.00 USD annually (base salary)

Tools

Java, C++, Python, diffusion, flow, transformers, LoRA/ControlNet

AI focus

Generative AI research and production systems for controllable image, video, and multimedia creation; diffusion and flow-based methods, 3D/4D scene and character generation, motion and camera control, post-training alignment, visual understanding, and multimodal workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)