2027 Applied Science Intern (Computer Vision), Amazon International Machine Learning
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Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
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 youll work in a fast-paced cross-disciplinary team of pioneering researchers. Youll 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 Amazons 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 innovative 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!
- 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)
- 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.
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As an Applied Scientist Intern youll work in a fast-paced cross-disciplinary team of pioneering researchers. Youll 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 Amazons 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 innovative 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!
- 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)
- 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.
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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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