Amazon Applied Scientist Brand Protection ML 

United States, Washington, Seattle 

688687827

We are looking for a highly talented scientist to help build of our vision for Brand Protection. As an applied scientist on the team, You will play a key role in designing, developing, and deploying advanced graph-based models that detect hidden relationships, anomalous behaviors, and emerging risks in large-scale, complex data environments. You will work backwards from data insights and customer feedback to build the right machine learning solutions, and resourceful in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution.Major responsibilities:
- Design scalable data pipelines to construct, enrich, and maintain large-scale knowledge graphs from heterogeneous data sources.
- Present research and analytics insights with stakeholders and partners to advance organizational science knowledge and decision making
- Research and implement novel AI solutions and publish research papers internally (and externally where appropriate)

- PhD, or Master's degree and 2+ years of building machine learning models for business application experience
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience programming in Java, C++, Python or related language
- Experience implementing algorithms using both toolkits and self-developed code

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 2+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF