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Amazon Pforzheim GmbH Logo Amazon Pforzheim GmbH · IT - Software Development

2027 Applied Science Intern (Machine Learning, Recommender Systems)

Australia, Melbourne · Job Posted June 30, 2026
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Job Description

Are you excited about leveraging and extending state-of-the-art Deep Learning, Information Retrieval, Natural Language Processing, Computer Vision algorithms to solve customer problems at the scale of Amazon? As an Applied Scientist Intern, you will be working in the Melbourne office in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in customer facing products.

Job Responsibility

  • Develop novel solutions and build prototypes
  • Work on complex problems in Deep Learning and Generative AI
  • Contribute to research that could significantly impact Amazon operations
  • Collaborate with a diverse team of experts in a fast-paced environment
  • Present your research findings to both technical and non-technical audiences
  • Collaborate with scientists on writing and submitting papers to top ML conferences, e.g. NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD.

Requirements

  • Are enrolled in a PhD in computer science, machine learning, engineering, or related fields
  • Strong programming skills (Python preferred)

Nice to have

  • Experience researching about machine learning, deep learning, NLP, computer vision, data science
  • Publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD, etc. Please list these publications on your resume.

What we offer

  • Work in a team of ML scientists to solve applied science problems at the scale of Amazon
  • Access to Amazon services and hardware
  • Potentially deliver solutions to production in customer-facing applications
  • Opportunities to be hired full-time after the internship
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