Job Title

Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems? As an Applied Scientist Intern, you will be working in the closest Amazon offices to you (Sydney, Melbourne, Adelaide, Brisbane) in a fastpaced, crossdisciplinary 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 customerfacing products. Key job responsibilities Develop novel solutions and build prototypes Work on complex problems in Machine Learning and Information Retrieval Contribute to research that could significantly impact Amazon operations Collaborate with a diverse team of experts in a fastpaced environment Collaborate with scientists on writing and submitting papers to top conferences, e.g. NeurIPS, ICML, KDD, SIGIR Present your research findings to both technical and nontechnical audiences Key Opportunities Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon Access to Amazon services and hardware Become a disruptor, innovator, and problem solver in the field of information retrieval and recommender systems Potentially deliver solutions to production in customerfacing applications Opportunities to be hired fulltime after the internship BASIC QUALIFICATIONS Are enrolled in a PhD in computer science, machine learning, engineering, or related fields Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning Strong programming skills (Python preferred) PREFERRED QUALIFICATIONS Experience researching about machine learning, deep learning, NLP, computer vision, data science Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, etc. Please list these publications on your resume. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr