2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning
Amazon · Melbourne, Australia · Machine Learning Science
About this role
Amazon is hiring a intern-level Applied Scientist in the machine learning function based in Melbourne, Australia. The posting calls out experience with Python, NLP, Computer Vision, Deep Learning.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- intern
- Track
- Individual contributor
- Employment
- Internship
- Location
- Melbourne, Australia
- Department
- Machine Learning Science
- Posted
- May 4, 2026
More roles at Amazon
Job description
from Amazon careersAre 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,…