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2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machi[...]

Amazon
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States

Über

2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning Job ID: 10456239 | Amazon Support Services PtyLtd
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 the scale of Amazon?
As an Applied Scientist Intern, you will be working in the Melbourne office in a fast-paced, cross-disciplinary team of experienced R&D scientists. You will take on complex problems, work on solutions that leverage existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even deliver these to production in 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 your research findings to both technical and non-technical audiences
Collaborate with scientists on writing and submitting papers to top ML conferences, e.g. NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD.
Key Opportunities
Work in a team of ML scientists to solve applied science problems at the scale of Amazon
Access to Amazon services and hardware
Potentially deliver solutions to production in customer-facing applications
Opportunities to be hired full-time after the internship
Basic Qualifications
Enrolled in a PhD in computer science, machine learning, engineering, or related fields
Strong programming skills (Python preferred)
Preferred Qualifications
Experience researching machine learning, deep learning, NLP, computer vision, data science
Publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD, etc. Please list these publications on your resume.
Equal Opportunity Statement 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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  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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