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 Amazon scale? As an Applied Scientist Intern you will work in the Melbourne office in a fast‐paced, cross‐disciplinary team of experienced R&D scientists. You will tackle complex problems, build prototypes that translate academic research into production, and deliver solutions to 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 research findings to both technical and non‐technical audiences
* Collaborate with scientists on writing and submitting papers to top ML conferences (NeurIPS, ICML, ICLR, AISTATS, ACL, ICCV, CVPR, KDD)
Key Opportunities
* Work in a team of ML scientists to solve applied science problems at Amazon scale
* Access to Amazon services and hardware
* Potentially deliver solutions to production in customer‐facing applications
* Opportunity to be hired full‐time after the internship
Basic Qualifications
* Enrolled in a PhD program in computer science, machine learning, engineering, or related fields
* Experience with video and image processing, compression algorithms, computer vision, and/or machine learning
* Strong programming skills (Python preferred)
Preferred Qualifications
* Experience researching deep learning, NLP, computer vision, data science
* Publications in top‐tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, etc. (list them on your resume)
Join us in shaping the future of AI at Amazon. Apply now and turn your research into real‐world solutions.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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