This is a 2025 Applied Science Intern (Computer Vision), Amazon International Machine Learning role with Amazon based in Sydney, NSW, AU Amazon Role Seniority - intern More about the 2025 Applied Science Intern (Computer Vision), Amazon International Machine Learning role at Amazon DESCRIPTION Are you excited about leveraging state-of-the-art Computer Vision algorithms and large datasets to solve real-world problems? Join Amazon as an Applied Scientist Intern and be at the forefront of AI innovation! As an Applied Scientist Intern, you'll work in a fast-paced, cross-disciplinary team of pioneering researchers. You'll tackle complex problems, developing solutions that either build on existing academic and industrial research or stem from your own innovative thinking. Your work may even find its way into customer-facing products, making a real-world impact. Key job responsibilities - 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 in a fast-paced environment - Collaborate with scientists on writing and submitting papers to Tier-1 conferences (e.g., CVPR, ICCV, NeurIPS, ICML) - Present your research findings to both technical and non-technical audiences Key Opportunities: - Collaborate with leading machine learning researchers - Access cutting-edge tools and hardware (large GPU clusters) - Address challenges at an unparalleled scale - Become a disruptor, innovator, and problem solver in the field of computer vision - Potentially deliver solutions to production in customer-facing applications - Opportunities to become an FTE 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 Computer Vision or Machine Learning - Experience in computer vision or related fields - Strong programming skills (Python preferred) PREFERRED QUALIFICATIONS - Research experience in Computer Vision, Deep Learning, or broader Machine Learning. - Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, ECCV, etc. Please list these publications on your resume. Please note that recruitment for Amazon’s Applied Science internship takes place all year round. Internships start monthly and last 6 months. Have a question? Please click on the below link to view our FAQs document: https://amazonexteu.qualtrics.com/CP/File.php?F=F_ctP17e4M4BpNzi6 But if you have any other questions not answered in [email protected] austechjobs 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Amazon team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Developing solutions Working on Computer Vision Collaborating with experts Key Strengths ️ Computer Vision Machine Learning Programming (Python) Research Experience Publications Collaboration Why Amazon is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume. A Final Note: This is a role with Amazon not with Hatch.