Amazon AI is looking for world class scientists and engineers to work together with its AI Labs for top accounts in China.
The AI Labs are entrusted with developing core data mining and machine learning algorithms for AWS services. In AWS, you will invent, implement, and deploy state of the art machine learning algorithms and systems.
You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community.
You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
PhD degree in computer science, operations research, statistics, engineering, or mathematics, or Master degree in computer science with relevant experiences
3+ years of experience in the field with a proven track record
Experience with fast prototyping
Experience with modern languages and efficient low level coding
Experience with computer vision, natural language processing, data mining or machine learning / deep learning applications
Experience working effectively with software engineering teams
Excellent written and verbal communication skills
Strong publication record at top conferences and journals
As an Applied Scientist you are expected be an expert in an area relevant for large scale machine learning and its applications.
Your position will require you to :
Be an active member of a software development team.
Published paper in relevant areas
Hands-on knowledge in frameworks, like MXNet, PyTorch and / or Tensorflow
Sound knowledge in algorithm optimizations
Sound knowledge in Machine Learning acceleration, like GPU / TPU / ASIC / FPGA and etc.
Experiences in distributed learning or model compression will be a plus.
Improve and accelerate our technology with science, statistical modeling, algorithm design, and prototyping.
Maintain an understanding of industry and technology trends in said area of research.
Contribute to Amazon's Intellectual Property through patents and / or external publications.
Understand business context to decisions made within and across groups.
Pre-sale experiences will be a plus.