Amazon

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.

Please note: This internship is a duration of 6 months full time with a start date in Jan-March 2026.
The successful intern is required to be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.

Key job responsibilities
- 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 (e.g., CVPR, ICCV, NeurIPS, ICML)
- Present your research findings to both technical and non-technical audiences

Key Opportunities:
- Collaborate with leading machine learning researchers
- Access cutting-edge tools and hardware (large GPU clusters)
- Address challenges at an unparalleled scale
- Become a disruptor, innovator, and problem solver in the field of computer vision
- Potentially deliver solutions to production in customer-facing applications
- Opportunities to become an FTE after the internship

Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!

BASIC QUALIFICATIONS

- 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)

PREFERRED QUALIFICATIONS

- Research experience in Computer Vision, Deep Learning, or broader Machine Learning.
- Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, etc. Please list these publications on your resume.