Amazon Ads is looking to develop solutions for performance measurement products to measure the comprehensive impact of advertiser's ad spend and provide actionable insights to optimize media portfolios
Requirements
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience in professional software development
- Experience in building speech recognition, machine translation and natural language processing systems
- Experience in designing experiments and statistical analysis of results
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Responsibilities
- Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
- Disambiguate problems to propose clear evaluation frameworks and success criteria
- Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
- Partner closely with other scientists to deliver large, multi-faceted technical projects
- Share and publish works with the broader scientific community through meetings and conferences
- Communicate clearly to both technical and non-technical audiences
- Contribute new ideas that shape the direction of the team's work
Other
- 2+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Mentor more junior scientists and participate in the hiring process
- Work autonomously and write high quality technical documents
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status
