Drimva

Amazon

Sr. Applied Scientist (Lead), Prime Video - Generative AI (Video)

$167K–$260K

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

Location
Culver City, CA
Sunnyvale, CA
New York, NY
Experience
3+ years building machine learning models for business applications; PhD, or Master’s degree and 6+ years of applied research experience.
Education
PhD, or Master’s degree

About the job

Leads research, experimentation, and product development for production-scale generative AI systems that support controllable media creation across video, images, and multimedia.

What you'll do

  • Lead end-to-end research and product development for generative AI, including controllable synthesis across images, video, vector graphics, and multimedia.
  • Develop diffusion and flow-based methods to improve model efficiency, controllability, and scalability.
  • Build visual understanding and multimodal workflows for pre-visualization, compositing, VFX, and post-production.

What they ask for

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

Nice to have

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

Pay

167,100.00 - 226,100.00 USD annually (base salary); 192,200.00 - 260,000.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary)

Tools

Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow

AI focus

Generative AI research and production systems for media creation, including diffusion and flow-matching models, 3D/4D generation, motion and camera control, post-training alignment, visual grounding, and multimodal workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)