Applied Scientist Ii, Prime Video X-ray Live Sports
6 days ago
A MS in CS, Machine Learning or in a highly quantitative field.
- 3+ years of hands-on experience (academic or industrial) in predictive modeling and large data analysis.
- Strong coding and problem-solving skills in at least one programming language such as Python, Java, C++, etc.
- At least one publication, as first author, in a leading conference or journal related to machine learning.
Job summary
Are you interested in shaping the future of Live sports? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the leading digital video services on the Internet today with the mission to provide customers world’s best-in-class digital video experience across every platform every device and all geographies.
The Prime Video X-Ray Live org's mission is to build enriching and immersive experiences that provide customers new ways to interact with the Live Sporting broadcasts. Today, Millions of viewers rely on us to enrich their live game experience with real time game stats, enhanced instant replays and interactively engage during Live games. The Sports Analysis team mission is to experiment and build enhanced
As an Applied Scientist, you will design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting. You will work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques. You will collaborate with product managers and engineering teams to design and implement scientific solutions for Amazon problem. Provide technical and scientific guidance to your team members. Contribute to the research community, by working with other scientists across Amazon and publish papers at peer reviewed journals and conferences.
About the team
Key Launches from 2021
Marketing Videos on X-Ray
- A PhD in CS, Machine Learning or in a highly quantitative field.
- Prior work experience as an applied scientist or a data scientist at a consumer product company.
- Experience using an object-oriented language to write production-ready code.
- Strong record of publications in one of the following areas: Computer Vision, - Industry experience working with computer vision algorithms such as detection, tracking, segmentation and video analysis techniques.
- Experience in live video stream processing and inference
- Exposure to developing ML systems and infrastructure as a service with strict latency constraints
- Experience in graphics and visualization
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