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Amazon

Sells products online and rents cloud computing

Applied Scientist - Perfect Order Experience

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 3 years of experience building models for business applications.
  • A PhD, or a Master's degree plus at least 4 years of experience in science, technology, engineering, or a related field.
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python, or a related language.
  • Experience applying theoretical models in an applied environment.

Responsibilities

  • Develop domain-specific foundation models.
  • Apply domain-specific foundation models to product risk detection, capturing seller interactions, predicting future seller behaviors, and simulating seller responses across varied conditions.
  • Work with business teams and engineers to develop and deploy solutions.
  • Leverage large-scale computing resources to advance generative AI and frontier machine-learning solutions.

Desired Qualifications

  • Experience designing state-of-the-art deep-learning model architectures and performing deep-learning training, optimization, and model pruning.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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