Research Scientist, Conversational AI Modeling and Learning
4 days ago
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
As a Research Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
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 status.
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 you're applying in isn't listed, please contact your Recruiting Partner.
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Toronto, Ontario, Canada Amazon Full timeApplied Scientist, Conversational AI Modeling and LearningThe Conversational AI Modeling and Learning (CAMEL) team is part of the Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive. We develop superior Large Language Models (LLM) solutions and services that increase the...
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Toronto, Ontario, Canada Amazon Full timeApplied Scientist, Conversational AI Modeling and LearningThe Conversational AI Modeling and Learning (CAMEL) team is part of the Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive.We are looking for a passionate, talented, and resourceful Applied Scientist in the field...
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Toronto, Ontario, Canada Amazon Full timeApplied Scientist, Conversational AI ModEling and LearningThe Conversational AI ModEling and Learning (CAMEL) team is part of the Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive. We develop superior Large Language Models (LLM) solutions and services that increase the...
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Toronto, Ontario, Canada Amazon Full timeApplied Scientist, Conversational AI Modeling and LearningThe Conversational AI Modeling and Learning (CAMEL) team is part of the Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive by developing superior Large Language Models (LLM) solutions and services. These solutions...
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Toronto, Ontario, Canada Amazon Full timeApplied Scientist, Conversational AI Modeling and LearningThe Conversational AI Modeling and Learning (CAMEL) team is part of the Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services. These solutions...
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Toronto, Ontario, Canada Amazon Full timeSr. Applied Scientist, Conversational AI Modeling and LearningThe Conversational AI Modeling and Learning (CAMEL) team is part of the Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive. We develop superior Large Language Models (LLM) solutions and services that increase...
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Toronto, Ontario, Canada Amazon Full timeSr. Applied Scientist, Conversational AI Modeling and LearningConversational AI Modeling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the...
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Toronto, Ontario, Canada Amazon Full timeDESCRIPTIONConversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable...
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Toronto, Ontario, Canada Amazon Full timeDESCRIPTIONConversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable...
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