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

Amazon Amazon · Big Tech · VIC, Australia +1 · Machine Learning Science

Internship role focused on developing novel solutions and prototypes in Deep Learning and Generative AI, with potential to deliver to production. Collaborates with R&D scientists and aims to publish research in top ML conferences.

What you'd actually do

  1. Develop novel solutions and build prototypes
  2. Work on complex problems in Deep Learning and Generative AI
  3. Contribute to research that could significantly impact Amazon operations
  4. Collaborate with a diverse team of experts in a fast-paced environment
  5. Present your research findings to both technical and non-technical audiences

Skills

Required

  • PhD in computer science, machine learning, engineering, or related fields
  • Strong programming skills (Python preferred)

Nice to have

  • Experience researching about machine learning, deep learning, NLP, computer vision, data science
  • Publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD, etc. Please list these publications on your resume.

What the JD emphasized

  • Publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD, etc. Please list these publications on your resume.

Other signals

  • develop novel solutions
  • build prototypes
  • work on complex problems in Deep Learning and Generative AI
  • contribute to research that could significantly impact Amazon operations
  • deliver these to production in customer facing products