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Machine Learning Science Manager, Personalization and Content Recommendation, Amazon
Machine Learning Science Manager, Personalization and Content Recommendation, Amazon-May 2024
Seattle
May 6, 2025
ABOUT AMAZON
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10,000+ employees
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About Machine Learning Science Manager, Personalization and Content Recommendation, Amazon

  Description

  Are you passionate about machine learning? Do you want to drive the innovation behind real-world recommendation systems? Do you want to impact what is shown to Amazon customers across the website by innovating with Amazon scale data? We are looking for a passionate person who can build a team and drive an innovation roadmap as part of Amazon’s centralized content recommendation and personalization service. The person will have high exposure within Amazon and their work will impact all Amazon customers. They will need to negotiate effectively and have good written and oral communication skills.

  When leading this team, you will be required to :

  drive scientist roadmap and determine which areas of research to invest

  hire and develop the best

  effectively communicate complicated machine learnings concepts to multiple partners.

  drive big picture innovations with clear roadmaps for intermediate delivery

  identify when to leverage existing technology versus innovate a new technology

  work closely with partners to identify problems from the customer's perspective

  incorporate subject matter expertise from across the company into our machine learning systems

  We are open to hiring candidates to work out of one of the following locations:

  Seattle, WA, USA

  Basic Qualifications

  3+ years of scientists or machine learning engineers management experience

  Knowledge of ML, NLP, Information Retrieval and Analytics

  Preferred Qualifications

  Experience building machine learning models or developing algorithms for business application

  Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

  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 https://www.amazon.jobs/en/disability/us.

  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $147,100/year in our lowest geographic market up to $286,000/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 https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

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