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Machine Learning Science Manager, Personalization and Content Recommendation,
4 months ago
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.
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:
Palo Alto, CA, USA | Santa Clara, CA, USA | Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 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 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 visitOur compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $165,500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.