Amazon International Machine Learning
Technology
2027AppliedScienceIntern(MachineLearning,RecommenderSystems)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“2027 Applied Science Intern (Machine Learning, Recommender Systems) at Amazon International Machine Learning. Skills: Machine Learning, Recommender Systems, Information Retrieval, Deep Learning. Develop novel solutions. Build prototypes”
What You'll Achieve.
Deliver solutions to production; Impact Amazon operations
Industry & Context.
Solve real-world problems; Complex problems
What They're Looking For.
Must Have
Enrolled in a PhD, Experience with video and image processing, Experience with compression algorithms, Experience with computer vision, Experience with machine learning, Programming skills (Python preferred)
Nice to Have
Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science, Publications in top-tier conferences
What You'll Do.
Develop novel solutions
Work on complex problems
Contribute to research
Collaborate with a diverse team
Collaborate with scientists on writing papers
Present research findings
How You'll Work.
Team & Collaboration
Cross-disciplinary team; Diverse team of experts
Communication Scope
Present research findings
Full Job Description
Are you excited about leveraging state-of-the-art Deep Learning, Recommender Systems, Information Retrieval, Natural Language Processing algorithms on large datasets to solve real-world problems? As an Applied Scientist Intern, you will be working in the closest Amazon offices to you (Sydney, Melbourne, Adelaide, Brisbane) in a fast-paced, cross-disciplinary 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 out-of-the-box 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 fast-paced 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 non-technical 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 customer-facing applications - Opportunities to be hired full-time 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: - Are enrolled in a PhD in computer science, machine learning, engineering, or related fields - Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning - Strong programming skills (Python preferred) Preferred Qualif
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