This is a Applied Science Intern (Machine Learning, Recommender Systems) role with one of the leading companies in AU right now Amazon with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at Amazon DESCRIPTION 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 BASIC QUALIFICATIONS - Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Information Retrieval, Recommender Systems, or Machine Learning - Strong programming skills, e.g. Python and DL frameworks PREFERRED QUALIFICATIONS - Research experience in Deep Learning, Recommender Systems, Information Retrieval, or broader Machine Learning. - Publications in top-tier conferences, e.g. NeurIPS, ICML, ICLR, KDD, SIGIR, RecSys - Experience with handling large datasets and distributed computing, e.g. Spark Program Details: - Recruitment occurs year-round - Internships start monthly and last 6 month If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like Amazon. ✅ Applying here is the first step in the hiring process for this role at Amazon. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.