2025 Applied Science Intern (Computer Vision), Amazon International Machine Learning
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.
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 or recently completed 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.
Please note that recruitment for Amazon’s Applied Science internship takes place all year round. Internships start monthly and last 6 months.
Have a question?
Please click on the below link to view our FAQs document: https://amazonexteu.qualtrics.com/CP/File.php?F=F_ctP17e4M4BpNzi6
But if you have any other questions not answered in anzcampus@amazon.com.au
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Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.