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Amazon Sr Manager Applied Science Training Certification 
United States, Texas, Arlington 
452357484

Yesterday
DESCRIPTION


Key job responsibilities
Technical Leadership
- Lead complex research and development projects
- Partner closely with the T&C Product and Engineering leaders on the technical strategy and roadmap
- Evaluate emerging technologies and methodologies
- Make high-level architectural decisions
Research & Development
- Drive innovation in applied science areas- Author technical papers and patents

BASIC QUALIFICATIONS

Basic qualifications
- M.S. in Computer Science, Machine Learning, or a related field.
- 10+ years experience in natural language processing, machine learning, recommendation, search, or a related field.
- Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch, customer validation and scaling.
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead combined science and engineering efforts to meet timelines with optimal solutions.


PREFERRED QUALIFICATIONS

Preferred qualifications
- Ph.D. in Computer Science, Machine Learning, or a related field.
- 10+ years experience in recommendations, search, natural language processing, machine learning, or a related field.
- Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning)
- Expertise in large language models or demonstrated ability to develop this expertise quickly.
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
- Expertise in end-consumer AI experiences, ideally with learning/ experiential offerings.
- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.