Applied Scientist Conversational AI ModEling and Learning
Applied Scientist Conversational AI ModEling and Learning
Posted on :
24-04-2025
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1 Vacancy
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Job Description
Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a bestinclass 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 stateoftheart contextaware 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 handson experiences in building Generative AI solutions with LLMs enjoy operating in dynamic environments be selfmotivated 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 an Applied 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 Amazons heterogeneous data sources and largescale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies including Prompt Engineering and Optimization Supervised FineTuning Learning from Human Feedback Evaluation SelfLearning etc. Your work will directly impact our customers in the form of novel products and services.
PhD or Masters degree and 2 years of building machine learning models for business application experience
PhD or a Masters degree and experience in CS CE ML or related field research
Experience programming in Java C Python or related language
3 years experience with modeling languages and tools like PyTorch / TensorFlow R scikitlearn numpy scipy etc
Solid ML background and familiar with standard NLU NLG and LLM techniques
PhD in Computer Sciences Electrical Engineering or Mathematics with specialization in machine learning deep learning or natural language processing
1 years experience in building conversational AI and/or natural language processing systems.
Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI etc.
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field.
2 years experience with large scale distributed systems such as Hadoop Spark etc.
Excellent written and spoken communication skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 youre applying in isnt listed please contact your Recruiting Partner.
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 stateoftheart contextaware 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 handson experiences in building Generative AI solutions with LLMs enjoy operating in dynamic environments be selfmotivated 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 an Applied 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 Amazons heterogeneous data sources and largescale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies including Prompt Engineering and Optimization Supervised FineTuning Learning from Human Feedback Evaluation SelfLearning etc. Your work will directly impact our customers in the form of novel products and services.
PhD or Masters degree and 2 years of building machine learning models for business application experience
PhD or a Masters degree and experience in CS CE ML or related field research
Experience programming in Java C Python or related language
3 years experience with modeling languages and tools like PyTorch / TensorFlow R scikitlearn numpy scipy etc
Solid ML background and familiar with standard NLU NLG and LLM techniques
PhD in Computer Sciences Electrical Engineering or Mathematics with specialization in machine learning deep learning or natural language processing
1 years experience in building conversational AI and/or natural language processing systems.
Publications at peerreviewed NLP/ML conferences (e.g. ACL EMNLP NAACL NeurIPS ICLR ICML AAAI etc.
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field.
2 years experience with large scale distributed systems such as Hadoop Spark etc.
Excellent written and spoken communication skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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