Amazon is looking for a passionate, talented and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide Amazon customers with a delightful experience by pushing the boundaries of Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation and Model Adaptation. As part of our AI team in Amazon AWS, you will work with internationally recognized experts to develop new algorithms and modeling techniques to advance the state of the art in human language technology. Your work will directly impact millions of our customers in terms of products and services, as well as contribute to the wider research community. You will gain hands-on experience with Amazon’s heterogeneous text and structured data sources and large computing resources to accelerate advances in language understanding. The Science team at AWS Bedrock builds the science foundation for Bedrock, a fully managed service that makes high-performance bedrock models available for use through a unified API. We are committed to continuously learning state-of-the-art NLP/ML/LLM technology and exploring creative ways to delight our clients. In our daily work, we are exposed to large NLP needs, and we apply rigorous research methods to respond to them with efficient and scalable innovative solutions. At AWS Bedrock, you’ll experience the benefits of working in a dynamic, entrepreneurial environment while leveraging AWS resources, one of the world’s leading cloud companies, and you’ll be able to publish your work in the top tier conferences and journals. We are building a brand new team to help develop a new NLP service for AWS. You will have the opportunity to conduct new research and influence the scientific roadmap and direction of the team. Come join this greenfield opportunity! About the Team The AWS Bedrock Science Team is part of AWS Utility Computing AWS Utility Computing (UC) delivers product innovations – from foundational services like Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to differentiates AWS services and features in the industry. As a member of the UC organization, you will 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. About the team Diverse experiences AWS values ​​diverse experiences. Even if you do not meet all the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just beginning, hasn’t followed a traditional path, or includes alternative experiences, don’t let that stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and widely used 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 is in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that allows 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 and career growth We continuously raise our performance bar as we strive to become the best employer on Earth. That’s why you’ll find endless knowledge sharing, mentoring, and other career-enhancing resources here to help you develop into a more well-rounded professional. Work/Life Balance We value harmony between work and life. Achieving success at work should never come at the expense of sacrifice at home, which is why we strive for flexibility as part of our work culture. When we feel supported at work and at home, there’s nothing we can’t achieve in the cloud.