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Amazon

Sells products online and rents cloud computing

Applied Scientist Intern - Machine Learning, Recommender Systems

AI ResearchConfirmed live in the last 24 hours
Internship · Summer 2027Melbourne VIC, AustraliaNo salary listed

About the Job

Requirements

  • Be enrolled in a PhD program in computer science, machine learning, engineering, or a related field.
  • Have strong programming skills; Python is preferred.

Responsibilities

  • Develop novel solutions and build prototypes.
  • Work on complex problems in deep learning and generative artificial intelligence.
  • Contribute to research that could significantly impact Amazon operations.
  • Collaborate with a diverse team of experts.
  • Present research findings to technical and non-technical audiences.
  • Collaborate with scientists on writing and submitting papers to top machine learning conferences, including NeurIPS, ICML, ICLR, AISTATS, ACL, ICCV, CVPR, and KDD.

Desired Qualifications

  • Have research experience in machine learning, deep learning, natural language processing, computer vision, or data science.
  • Have publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL, ICCV, CVPR, or KDD; list these publications on the resume.

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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