About

• 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.

• Please note: This internship is a duration of 6 months full time with a start
• date in Jan-March 2026.

• 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

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
• https://amazon.jobs/content/en/how-we-hire/accommodations
• [https://amazon.jobs/content/en/how-we-hire/accommodations] for more
• information. If the country/region you’re applying in isn’t listed, please
• contact your Recruiting Partner.