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Amazon Sr Applied Scientist Generative AI Innovation Center 
United States, New York, New York 
222649549

Yesterday
DESCRIPTION

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an Applied Scientist, you will

BASIC QUALIFICATIONS

- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Masters degree plus 10 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 2+ years of experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
- Experience in patents or publications at top-tier peer-reviewed conferences or journals


PREFERRED QUALIFICATIONS

- 2+ years of experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
- 2+ years of experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
- 2+ years of experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.