The charter of the Amazon Shopping Team is to improve shopping on Amazon using the conversational capabilities of large language models. We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping. The team is searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.
Key job responsibilities:
- Act as Generative AI expert across the entirety of Amazon.
- Be a strategic advisor to various S-teams and provide practical, clinical advice to business owners and communicate recommendations to leadership and, as appropriate, customers and external stakeholders.
- Identify business problems that may impact customers a few years out.
- Delve into unique and unsolved problems to propose and deliver solutions that build upon decades of published scientific research and business judgment.
- Have an impact beyond immediate research circles to influence research in adjacent disciplines and beyond.
- Spark new lines of inquiry through published work that will be leveraged by a broad array of technologists.
- Drive major new science heavy product launches with org-wide scope and impact.
Minimum Requirements:
- PhD degree in computer science, engineering, or mathematics
- 20+ years of experience in the field
- A track record of world-class publication in related disciplines
- Demonstrated expertise in both theory and practice of disciplines
Preferred Qualifications:
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.
- Exceptional ability to present complex technical information in a clear and concise manner to a variety of audiences, including large technical audiences, senior management, and customers.
- Track record of developing intellectual property.
- Demonstrated history of influencing standards bodies.
- Participation on academic program committees and open-source programs.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit here .
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