2024 Phd Applied Science Intern (Nsw, Vic, Sa, Qld, Act)

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.

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 

• 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

• 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 the FAQs, feel free to email us: *********@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.