Applied Science Manager — Personalization & Discovery

Amazon Science

Seattle (WA)

Sur place

USD 184 000 - 249 000

Plein temps

Il y a 35 heures
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Avantages offerts par ce poste

Health insurance
401(k) matching
Paid time off
Parental leave

Résumé du poste

Amazon Science in Seattle is seeking an Applied Science Manager to lead a talented science team focused on Prime Video personalization and recommendation technologies.

You will own the end-to-end model development, collaborate with software engineers and product managers, and drive state-of-the-art techniques from research to production, delivering improved experiences to millions of Amazon customers.

Qualifications

  • PhD or Master’s degree with 6+ years of applied research experience.
  • 3+ years of scientists or ML engineers management experience.
  • 4+ years of applied research experience.
  • 3+ years building machine learning models for business applications.
  • Knowledge of ML, NLP, Information Retrieval and Analytics.
  • Experience programming in Java, C++, Python or related languages.
  • Strong analytical skills, attention to detail, and effective communication abilities.

Responsabilités

  • Lead to develop AI solutions for Prime Video recommendation and personalization using Deep learning, GenAI, RL, and related methods.
  • Collaborate with engineers and product managers to design, implement and launch AI solutions end-to-end.
  • Effectively communicate technical and non-technical ideas with teammates and stakeholders.
  • Stay up-to-date with advancements and latest modeling techniques in the field.
  • Hire and grow a science team working in video personalization domain.

Connaissances

Machine learning
NLP
Information Retrieval
Analytics
Java
C++
Python

Formation

PhD
Master's degree

Description du poste

Amazon Science in Seattle is seeking an Applied Science Manager to lead a talented science team focused on Prime Video personalization and recommendation technologies.

You will own the end-to-end model development, collaborate with software engineers and product managers, and drive state-of-the-art techniques from research to production, delivering improved experiences to millions of Amazon customers.

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