Amazon Principal Applied Scientist Prime Video Client Organization 

United States, Washington, Seattle 

511651990

The Prime Video Global App Experience organization operates at planet-wide scale and is a critical part of Prime Video’s flywheel.Key job responsibilities
As a Principal Applied Scientist in the Prime Video Global App Experience organization you will leverage your deep subject matter expertise in applied machine learning to prototype and productionalize approaches to detect defects in our client apps.You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring.

- 10+ years of tech industry or equivalent experience
- Experience working effectively with science, data processing, and software engineering teams
- Graduate degree in Computer science/Math or related field.
- Experience in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch
- Computer Science fundamentals in data structures, algorithm design and complexity analysis.
- Ability to develop a machine learning strategy for non-traditional areas such as developer productivity, software quality assurance (testing), availability, app performance/fluidity and latency reduction.
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions.
- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

- PhD degree in Computer Science or related field.
- Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning)
- Expertise in large language models or demonstrated ability to develop this expertise quickly.
- Experience in Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.
- Work with academic partners to support our in-house talent with direct access to cutting edge research and mentoring.
- More than 15+ years of business/academic experience in building machine learning models.
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.