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, Python. Design and implement machine learning models. Develop and maintain recommender systems”
Industry & Context.
Data analysis; Algorithm development
What They're Looking For.
Must Have
PhD required, 5+ years of experience in machine learning, Experience with recommender systems, Proficiency in Python, Proficiency in SQL
Nice to Have
Experience with large-scale data processing, Experience with AWS services, Experience with distributed systems
What You'll Do.
Design and implement machine learning models
Develop and maintain recommender systems
Analyze large datasets
Collaborate with engineering teams
Present findings to stakeholders
How You'll Work.
Team & Collaboration
Engineering teams; Cross-functional teams
Communication Scope
Present findings
Full Job Description
Are you excited about leveraging and extending state-of-the-art Deep Learning, Information Retrieval, Natural Language Processing, Computer Vision algorithms to solve customer problems at the scale of Amazon? As an Applied Scientist Intern, you will be working in the Melbourne office 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 Deep Learning and Generative AI - Contribute to research that could significantly impact Amazon operations - Collaborate with a diverse team of experts in a fast-paced environment - Present your research findings to both technical and non-technical audiences - Collaborate with scientists on writing and submitting papers to top ML conferences, e.g. NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD. Key Opportunities: - Work in a team of ML scientists to solve applied science problems at the scale of Amazon - Access to Amazon services and hardware - 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 - Strong programming skills (Python preferred) Preferred Qualifications: - Experience researching about machine learning, deep learning, NLP, computer vision, data science - Publications in top-tier conferences such as NeurIPS, ICML, ICLR, AISTATS, ACL ICCV, CVPR, KDD, etc. Please list these publications on your resume. Acknowled
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