2027 Applied Science Intern (Machine Learning, Recommender Systems), Amazon International Machine Learning

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 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!

- 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)

- 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.

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.