What are the responsibilities and job description for the Applied Science Internship – Recommender Systems, Internship position at Jobright.ai?
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Job Summary:
Amazon is on a mission to revolutionize the way people discover and access information, and they are seeking interns for their Applied Science team focused on Recommender Systems and Information Retrieval. In this role, interns will work on cutting-edge AI solutions, collaborating with scientists and engineers to tackle complex challenges in machine learning and contribute to the development of innovative frameworks and tools.
Responsibilities:
• Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
• Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
• Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
• Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
• Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community
Qualifications:
Required:
• Are enrolled in a PhD
• Are 18 years of age or older
• Work 40 hours/week minimum and commit to 12 week internship maximum
• Can relocate to where the internship is based
• Experience programming in Java, C , Python or related language
• Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
Preferred:
• Have publications at top-tier peer-reviewed conferences or journals
• Experience building machine learning models or developing algorithms for business application
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Company:
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001 employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.
