Are you excited about leveraging and extending state‑of‑the‑art Deep Learning, Information Retrieval, Natural Language Processing, and Computer Vision algorithms to solve customer problems at Amazon?

As an Applied Scientist Intern, you will be working in the Melbourne office in a rapid‑paced, cross‑disciplinary team of experienced R&D; scientists. You will take on complex problems, develop solutions that build on existing academic and industrial research, and apply your own out‑of‑the‑box pragmatic thinking. In addition to creating 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 Deep Learning and Generative AI
- Contribute to research that could significantly impact Amazon operations
- Collaborate with a diverse team of experts in a fast‑paced environment
- Present research findings to both technical and non‑technical audiences
- Collaborate with scientists on writing and submitting papers to top ML conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL, ICCV, CVPR, KDD

Key Opportunities





- Work in a team of ML scientists to solve applied science problems at Amazon’s scale
- Access to Amazon services and hardware
- Possibility to deliver solutions to production in customer‑facing applications
- Opportunity to be hired full‑time after the internship

Basic Qualifications

- Enrolled in a PhD in computer science, machine learning, engineering, or related field
- Strong programming skills (Python preferred)

Preferred Qualifications

- Experience researching machine learning, deep learning, NLP, computer vision, data science
- Publications in top‑tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL, ICCV, CVPR, KDD

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit 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.

#J-18808-Ljbffr

📌 2027 Applied Science Intern (Machine Learning, Recommender Systems), AmazonInternational Machi[...] (Melbourne)
🏢 Amazon
📍 Melbourne