Prime Video is looking to solve the problem of delivering state-of-the-art digital video experiences to its customers, including building holistic media representations and applying them to new customer experiences and supply chain problems.
Requirements
- 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 using Unix/Linux
- Experience in professional software development
- Deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs)
Responsibilities
- Defining technical strategy: collaborating with other leaders in Prime Video to define the problem to be solved long-term to serve customers and formulating the science and engineering strategy for achieving this vision
- Execution: bringing the strategy to life, directly delivering key components of the science and research roadmap, and acting as a force-multiplier for other scientists in the team
- Developing Others: mentoring and coaching junior scientists in the team, driving scientific and technical best practices for others, and elevating the quality of the output produced by the entire team
- Leading the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications
- Building models for business application experience
- Programming in Java, C++, Python or related language
- Collaborating with other leaders in Prime Video to define the problem to be solved long-term to serve customers
Other
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Ability to mentor and coach junior scientists in the team
- Ability to drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team
- Ability to work in a fast-paced, challenging, and varied environment
- Ability to experiment with new possibilities, take risks, and collaborate with remarkable people
