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Applied Science Intern

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Amazon Pforzheim GmbH

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Location:
Australia , Canberra

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Are you excited about leveraging state-of-the-art Computer Vision algorithms and large datasets to solve real-world problems? Join Amazon as an Applied Scientist Intern and be at the forefront of AI innovation! As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact.

Job Responsibility:

  • Develop novel solutions and build prototypes
  • Work on complex problems in Computer Vision and Machine Learning
  • Contribute to research that could significantly impact Amazon's operations
  • Collaborate with a diverse team of experts in a fast-paced environment
  • Collaborate with scientists on writing and submitting papers to Tier-1 conferences
  • Present your research findings to both technical and non-technical audiences

Requirements:

  • Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Computer Vision or Machine Learning
  • Experience in computer vision or related fields
  • Strong programming skills (Python preferred)

Nice to have:

  • Research experience in Computer Vision, Deep Learning, or broader Machine Learning
  • Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV
What we offer:
  • Collaborate with leading machine learning researchers
  • Access innovative tools and hardware (large GPU clusters)
  • Address challenges at an unparalleled scale
  • Become a disruptor, innovator, and problem solver
  • Potentially deliver solutions to production in customer-facing applications
  • Opportunities to become an FTE after the internship

Additional Information:

Job Posted:
May 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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