2025 Applied Science Intern Machine Learning Recommender Systems Amazon International Machine Learning
2025 Applied Science Intern Machine Learning Recommender Systems Amazon International Machine Learning
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you excited about leveraging stateoftheart Deep Learning Recommender Systems Information Retrieval Natural Language Processing algorithms on large datasets to solve realworld problems
As an Applied Scientist Intern you will be working in the closest Amazon offices to you (Sydney Melbourne Adelaide Brisbane) in a fastpaced crossdisciplinary team of experienced R&D scientists. You will take on complex problems work on solutions that leverage existing academic and industrial research and utilize your own outofthebox pragmatic thinking. In addition to coming up with novel solutions and prototypes you may even deliver these to production in customer facing products.
Key job responsibilities
Develop novel solutions and build prototypes
Work on complex problems in Machine Learning and Information Retrieval
Contribute to research that could significantly impact Amazon operations
Collaborate with a diverse team of experts in a fastpaced environment
Collaborate with scientists on writing and submitting papers to top conferences e.g. NeurIPS ICML KDD SIGIR
Present your research findings to both technical and nontechnical audiences
Key Opportunities:
Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon
Access to Amazon services and hardware
Become a disruptor innovator and problem solver in the field of information retrieval and recommender systems
Potentially deliver solutions to production in customerfacing applications
Opportunities to be hired fulltime after the internship
Join us in shaping the future of AI at Amazon. Apply now and turn your research into realworld solutions!
Currently enrolled in a PhD program in Computer Science Electrical Engineering Mathematics or related field with specialization in Information Retrieval Recommender Systems or Machine Learning
Strong programming skills e.g. Python and DL frameworks
Research experience in Deep Learning Recommender Systems Information Retrieval or broader Machine Learning.
Publications in toptier conferences e.g. NeurIPS ICML ICLR KDD SIGIR RecSys
Experience with handling large datasets and distributed computing e.g. Spark
Program Details:
Recruitment occurs yearround
Internships start monthly and last 6 months
Have a question
Please click on the below link to view our FAQs document: if you have any other questions not answered in
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 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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As an Applied Scientist Intern you will be working in the closest Amazon offices to you (Sydney Melbourne Adelaide Brisbane) in a fastpaced crossdisciplinary team of experienced R&D scientists. You will take on complex problems work on solutions that leverage existing academic and industrial research and utilize your own outofthebox pragmatic thinking. In addition to coming up with novel solutions and prototypes you may even deliver these to production in customer facing products.
Key job responsibilities
Develop novel solutions and build prototypes
Work on complex problems in Machine Learning and Information Retrieval
Contribute to research that could significantly impact Amazon operations
Collaborate with a diverse team of experts in a fastpaced environment
Collaborate with scientists on writing and submitting papers to top conferences e.g. NeurIPS ICML KDD SIGIR
Present your research findings to both technical and nontechnical audiences
Key Opportunities:
Work in a team of ML scientists to solve recommender systems problems at the scale of Amazon
Access to Amazon services and hardware
Become a disruptor innovator and problem solver in the field of information retrieval and recommender systems
Potentially deliver solutions to production in customerfacing applications
Opportunities to be hired fulltime after the internship
Join us in shaping the future of AI at Amazon. Apply now and turn your research into realworld solutions!
Currently enrolled in a PhD program in Computer Science Electrical Engineering Mathematics or related field with specialization in Information Retrieval Recommender Systems or Machine Learning
Strong programming skills e.g. Python and DL frameworks
Research experience in Deep Learning Recommender Systems Information Retrieval or broader Machine Learning.
Publications in toptier conferences e.g. NeurIPS ICML ICLR KDD SIGIR RecSys
Experience with handling large datasets and distributed computing e.g. Spark
Program Details:
Recruitment occurs yearround
Internships start monthly and last 6 months
Have a question
Please click on the below link to view our FAQs document: if you have any other questions not answered in
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 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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Intern
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
