TL;DR

Applied Science Intern (Computer Vision): Developing novel solutions and building prototypes in Computer Vision and Machine Learning with an accent on contributing to research and collaborating with experts. Focus on addressing challenges at an unparalleled scale and potentially delivering solutions to customer-facing applications.

Location: Must be based in Melbourne and relocation allowance will be provided if you are based outside of Melbourne.

Company

%hirify_global% is a global technology corporation at the forefront of AI innovation, leveraging state-of-the-art Computer Vision algorithms and large datasets.

What you will do

Develop novel solutions and build prototypes.
Work on complex problems in Computer Vision and Machine Learning.
Contribute to research that could significantly impact Amazon's operations.
Collaborate with a diverse team of experts.
Collaborate with scientists on writing and submitting papers to Tier-1 conferences (e.g., CVPR, ICCV, NeurIPS, ICML).
Present research findings to both technical and non-technical audiences.

Requirements

Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Computer Vision or Machine Learning.
Experience in computer vision or related fields.
Strong programming skills (Python preferred).

Nice to have

Research experience in Computer Vision, Deep Learning, or broader Machine Learning.
Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV.

Culture & Benefits

Work in a fast-paced, cross-disciplinary team of pioneering researchers.
Access cutting-edge tools and hardware (large GPU clusters).
Address challenges at an unparalleled scale.
Potentially deliver solutions to production in customer-facing applications.
Opportunities to become an FTE after the internship.
Amazon is an equal opportunity employer with an inclusive culture, providing workplace accommodations or adjustments for disabilities.