2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning
Melbourne, Australia, Australia • Posted June 06, 2026
Job Type:
Full-time
Location:
Melbourne, Australia
Posted:
June 06, 2026
Category:
other-general
Application Deadline:
June 11, 2026
Role Description
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.
Key job responsibilities
- 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 ...
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.
Key job responsibilities
- 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 ...
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