About the job
We are seeking a Sr. Applied Scientist to revolutionize how we deliver personalized advertising solutions to our worldwide customers. In this role, you will build autonomous AI systems that proactively identify advertiser pain points and deliver optimal recommendations across multiple communication channels without requiring explicit customer input.
Responsibilities
Using Amazon's large scale computing resources, you will ask research questions about advertiser behavior, build state of the art recommender models to generate recommendations, and deploy these models directly on the ad delivery channels. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit advertisers and the retail business and you will measure the impact using scientific tools.
Qualifications
Minimum
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
We are looking for a passionate, hard working, and talented Sr. Applied Scientist who has experience building mission critical, high volume applications that customers love. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of new generation ads products seen by millions of customers everyday.