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Amazon

Applied Scientist, LLM, Natural Language Search

Amazon, Seattle, Washington, us, 98127


Applied Scientist, LLM, Natural Language Search

Job ID: 2783224 | Amazon.com Services LLCCome transform Amazon Search using Large Language Models (LLMs). We are building new approaches to bring in a step change to both Amazon Rufus and Amazon Search.

You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", "best toys for on the go" or "cheap plus size summer pajamas".Key Job Responsibilities

You will analyze large scale datasetsDefine metrics that reflect customer experienceInvent techniques that improve capabilities such as understanding of natural language queries, questions and conversationsTest your ideas in controlled experimentsTrain, fine-tune and align Large Language Models (LLMs)Distill Large Language Models into Fast Language Models and deploy them to operate at Amazon scale with imperceptible latenciesBASIC QUALIFICATIONS

3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS

Experience using Unix/LinuxExperience in professional software developmentAmazon 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.Posted:

January 25, 2024

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