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

Amazon Amazon · Big Tech · Sunnyvale, CA · Applied Science

Senior Applied Scientist role at Amazon Prime Video focusing on building generative AI models for content creation (movie content, localized assets, marketing materials). The role involves driving end-to-end ML projects, from proof-of-concept and experimentation to deployment and scaling, with a focus on research and establishing automated processes for model development and serving.

What you'd actually do

  1. Build generative AI models that create production-ready content, including movie content, localized assets, and visual marketing materials used across Prime Video's global platform.
  2. Drive end-to-end machine learning projects that have a high degree of ambiguity, scale, complexity.
  3. Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models.
  4. Run experiments, gather data, and perform statistical analysis.
  5. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.

Skills

Required

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

Nice to have

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

What the JD emphasized

  • Build generative AI models
  • end-to-end machine learning projects
  • deploy your models
  • machine learning models
  • model development
  • model validation

Other signals

  • Generative AI
  • end-to-end machine learning projects
  • deploy models
  • research new approaches