Principal Applied Scientist

2 weeks ago


Seattle, United States Amazon.com Services LLC - A57 Full time

Responsibilities:

  1. Design and deploy state-of-the-art machine learning models that enhance the shopping experience on Amazon.
  2. Research customer behavior and develop models that help customers shop effectively.
  3. Mentor Applied Scientists and software development engineers in machine learning and generative AI.
  4. Participate in the Amazon ML community.

Qualifications:

  1. 5+ years of building machine learning models for business application experience.
  2. PhD, or Master's degree and 6+ years of applied research experience.
  3. Experience in a wide breadth of modeling approaches and applications.
  4. Experience with neural deep learning methods and generative models (text and image).
  5. Experience mentoring a team of applied scientists.

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 Amazon Disability Accommodation.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit Amazon Employee Benefits.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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