Applied Scientist, Conversational AI ModEling and Learning

4 weeks ago


Bellevue, United States Amazon Full time

Applied Scientist, Conversational AI Modeling and Learning Job ID: 2725269 | Amazon.com Services LLC The Conversational AI Modeling and Learning (CAMEL) team is part of Amazon's Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive. We develop superior Large Language Models (LLM) solutions and services to enhance capabilities built into the model, enabling the utilization of 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. The successful candidate will have a strong machine learning background and a desire to push the envelope in one or more of these areas. The ideal candidate will also have hands-on experience in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, and be self-motivated to take on challenging problems to deliver significant customer impact, moving fast to ship solutions and iterating based 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 Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Supervised Fine-Tuning (SFT), In-Context Learning (ICL), Learning from Human Feedback (LHF), etc. Your work will directly impact our customers in the form of novel products and services. BASIC QUALIFICATIONS - PhD, or Master's degree and 2+ years of building machine learning models for business applications experience. - PhD, or a Master's degree and experience in CS, CE, ML, or related field research. - Experience programming in Java, C++, Python, or related languages. - 3+ years’ experience with modeling languages and tools like PyTorch, TensorFlow, R, scikit-learn, numpy, scipy, etc. - Solid ML background and familiarity with standard NLU, NLG, and LLM techniques. PREFERRED QUALIFICATIONS - 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 peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.). - Scientific thinking and the ability to invent, with 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 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, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr



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