Applied Scientist, Amazon Q for Business Science

An Applied Scientist in the Amazon Q for Business team is a significant and autonomous contributor who can push the envelope in a broad variety of areas related to Deep Learning, Retrieval Augmented Generation, Natural Language Processing (NLP), and Text and Multimodal Search and Question Answsering. The Applied Scientist can transfer state-of-the-art research to solve real-world challenges on our customers’ behalf. The Applied Scientist II should have substantial hands-on experience with deep neural network based machine learning (ML) strong NLP or multimodal problem solving skill. The Applied Scientist should closely follow the latest advances in the academic field, while staying current with the development of LLM and deep learning multimodal models across the company.

The Science team is responsible for the design, implementation and improvement of all the technologies at the foundation of Amazon Q for Business, including 1/ search and retrieval of textual, semistructured data (rich documents), structured data, and multimodal data; 2/ extractive and abstractive question answering over text, structure data and multi-modal sources; 3/ conversational AI, including interaction modes beyond simple text; 4/ Orchestration across a large number of applications connected to a LLM via plugins or agents, including planning to fulfill the user needs by combining multiple steps possibly across different applications; 5/ Reasoning, to extract complex insights from the appropriate data.



Key job responsibilities
We are seeking an Applied Scientist who will work in areas related to Information Retrieval, including Neural Information Retrieval, as well as Answer Generation from the retrieved results, using Generative LLMs.

An Applied Scientist should be able to independently execute complex research plans, and deliver high-quality results in the form of faithfully implemented models, well-designed and properly executed experiments, insightful analysis of data, and concise and accurate communication of conclusions.

The Applied Scientist should have excellent teamwork skills, to interact with other Scientists on the same project and on relateed projects. The Applied Scientist will regularly interact with Engineering and Product partners and needs excellent communication skills to effectively collaborate with colleagues with different backgrounds and skill sets.

The Applied Scientist will engage in long-term projects, and, at the same time, as the need arises, will dive deep in customer issues, provide suggestions to Engineering for short term mitigation, and formulate principled solutions for longer term investigation..

We expect that an Applied Scientist engage sthe Science community within and beyond Amazon, actively publishes their work, either as patents or as scientific papers at top-tier conferences.

About the team
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.


Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.