Machine Learning Research Scientist
4 hours ago
The 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 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 ideal candidate would 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 then iterating on user feedback and interactions.
Key Job ResponsibilitiesAs an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers. You will 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. p>BASIC QUALIFICATIONS
- PhD, or Master's degree and 2+ years of building machine learning models for business application 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 language
- 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
- 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. li>
- 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.
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Old Toronto, Canada Amazon Full timeh3>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 enhance...
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