Applied Scientist Intern: ML, NLP & CV R&D – Melbourne

Applied Scientist Intern: ML, NLP & CV R&D – Melbourne

Melbourne Internship 28.8 - 35.2 $ / hour (est.) On-site
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At a Glance

  • Tasks: Join a dynamic team to develop and enhance ML, NLP, and CV algorithms.
  • Company: Amazon, a leader in tech innovation, based in Melbourne.
  • Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge research.
  • Other info: Collaborative environment with opportunities to present at top conferences.
  • Why this job: Make an impact by contributing to real-world applications and publishing your work.
  • Qualifications: PhD enrolment, strong Python skills, and a passion for research.

The predicted salary is between 28.8 - 35.2 $ per hour.

Amazon in Melbourne is seeking an Applied Scientist Intern to work in a fast-paced cross-disciplinary team.

You will extend DL, IR, NLP, and CV algorithms, develop prototypes, and possibly deliver to production in customer-facing products.

You will collaborate with ML scientists, present research to mixed audiences, and contribute to papers for top conferences.

Enrolled in a Ph D program with strong Python skills and a record of publications is favored.

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Applied Scientist Intern: ML, NLP & CV R&D – Melbourne employer: Amazon

At Amazon Corporate Services Pty Ltd, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Centre Engineering & Operations Technician, you'll benefit from extensive training and development opportunities, ensuring your skills grow alongside our cutting-edge technology. Located in Australia, our facilities provide a supportive environment where you can thrive while contributing to the seamless operation of critical infrastructure.

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Contact Details:

Amazon Recruitment Team

We think you need these skills to ace Applied Scientist Intern: ML, NLP & CV R&D – Melbourne

Deep Learning (DL)
Information Retrieval (IR)
Natural Language Processing (NLP)
Computer Vision (CV)
Prototyping
Python
Research Presentation