Are you excited about leveraging stateoftheart Computer Vision algorithms and large datasets to solve realworld 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 fastpaced crossdisciplinary 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 customerfacing products making a realworld 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 fastpaced environment
Collaborate with scientists on writing and submitting papers to Tier1 conferences (e.g. CVPR ICCV NeurIPS ICML)
Present your research findings to both technical and nontechnical audiences
Key Opportunities:
Collaborate with leading machine learning researchers
Access cuttingedge 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 customerfacing 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 realworld 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 toptier conferences such as CVPR ICCV NeurIPS ICML ICLR ECCV etc. Please list these publications on your resume.
Please note that recruitment for Amazons Applied Science internship takes place all year round. Internships start monthly and last 6 months.
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IDE statement:
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