Applied Scientist, Amazon Ads

• PhD, or a Master’s degree and experience in CS, CE, ML or related field research

• Experience programming in Java, C++, Python or related language

• Experience in building machine learning models for business application

• Experience building machine learning models or developing algorithms for business application

• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Re-imagining the realms of what’s possible in advertising., * Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment.

• Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.

• Promote the culture of experimentation and applied science at Amazon.

• Demonstrate ability to meet deadlines while managing multiple projects.

• Excel communication and presentation skills working with multiple peer groups and different levels of management

• Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles

• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

• Experience in patents or publications at top-tier peer-reviewed conferences or journals

• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

• Experience with popular deep learning frameworks such as MxNet and Tensor Flow