2025 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning

Amazon

On-site 🏢 03 October
Data Science & AI/ML
Adelaide, Australia 🇦🇺 Brisbane, Australia 🇦🇺 Sydney, Australia 🇦🇺 Melbourne, Australia 🇦🇺

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 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 Machine Learning and Information Retrieval- Contribute to research that could significantly impact Amazon operations- Collaborate with a diverse team of experts in a fast-paced 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 non-technical 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 customer-facing applications- Opportunities to be hired full-time after the internship Join us in shaping the future of AI at Amazon. Apply now and turn your research into real-world solutions!

Apply now

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