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PhD, or a Master’s degree and experience in CS, CE, ML or related field research
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Experience programming in Java, C++, Python or related language
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Experience in building machine learning models for business application
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Experience building machine learning models or developing algorithms for business application
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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.
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Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
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Promote the culture of experimentation and applied science at Amazon.
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Demonstrate ability to meet deadlines while managing multiple projects.
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Excel communication and presentation skills working with multiple peer groups and different levels of management
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Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles
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Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
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Experience in patents or publications at top-tier peer-reviewed conferences or journals
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Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
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Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Contact Detail:
Amazon.com, Inc Recruiting Team