Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

Amazon 2024 Applied Science Intern (NSW, VIC, SA, QLD, ACT) in SA, Australia

Description

Are you excited about understanding the state-of-the-art Machine Learning, Natural Language Processing, Deep Learning, Computer Vision algorithms, Recommender Systems and designs using large data sets to solve real world problems?

As an Applied Scientist Intern, you will be working in the closet Amazon offices to you (Sydney, Melbourne, Canberra, Adelaide, Brisbane) in a fast-paced, cross-disciplinary team of researchers who are pioneers in the field. You will take on complex problems, and work on solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.

Key job responsibilities

Are you excited about using state-of-the-art Deep Learning, Computer Vision, Natural Language Processing algorithms and large data sets to solve real world problems?

A research internship at Amazon is an opportunity to work with leading machine learning researchers on exciting problems using the best tools and hardware in the world. It is an opportunity for PhD students and recent PhD graduates in Computer Vision, Recommender Systems, Deep Learning, Natural Language Processing, and broader Machine Learning to address challenges at a scale that is impossible elsewhere. Along the way, you’ll get opportunities to be a disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impact.

As an Applied Scientist Intern, you will be working in a fast-paced, cross-disciplinary team of researchers who are pioneers in the field. You will take on complex problems, and work on solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and building prototypes, you may even deliver these to production in customer facing applications.

We are open to hiring candidates to work out of one of the following locations:

Adelaide, SA, AUS | Brisbane, QLD, AUS | Canberra, ACT, AUS | Melbourne, VIC, AUS | Perth, WA, AUS | Sydney, NSW, AUS

Basic Qualifications

  • Currently enrolled or recently graduated from a PhD program in Computer Science, Electrical Engineering, Mathematics, or related field, with specialization in Machine Learning.

  • Experience in computer vision, recommender systems, deep learning, NLP, or related fields is preferable.

  • Strong programming skills are essential, and a working knowledge of Python is preferable

Preferred Qualifications

  • Research experience in Computer Vision, Deep Learning, Natural Language Processing, or broader Machine Learning.

  • Publications in top-tier conferences such as CVPR, ICCV, NeurIPS, ICML, ICLR, AISTATS, ACL, NAACL and EMNLP. Please state 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 anzcampus@amazon.com.au

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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.

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