About

• We are looking for a researcher in cutting-edge LLM technologies for
• applications across Alexa, AWS, and other Amazon businesses. In this role, you
• will innovate in the fastest-moving fields of current AI research, in particular
• in how to integrate a broad range of structured and unstructured multimodal
• information into AI systems (e.g. with RAG techniques), and get to immediately
• apply your results in highly visible Amazon products.

• If you are deeply familiar with LLMs, natural language processing and machine
• learning, this may be the right opportunity for you. Our fast-paced environment
• requires a high degree of independence in making decisions and driving ambitious
• research agendas all the way to production. You will work with other science and
• engineering teams as well as business stakeholders to maximize velocity and
• impact of your team's contributions.

• It's an exciting time to be a leader in AI research. In Amazon's AGI Information
• team, you can make your mark by improving information-driven experience of
• Amazon customers worldwide! Basic Qualifications: - PhD, or a Master's degree
• and experience in CS, CE, ML or related field
• - Experience in patents or publications at top-tier peer-reviewed conferences or
• journals
• - Experience programming in Java, C++, Python or related language
• - Experience in any of the following areas: algorithms and data structures,
• parsing, numerical optimization, data mining, parallel and distributed
• computing, high-performance computing
• - Experience in building machine learning models for business application
• - Experience with natural language processing and/or processing of multi-modal
• data (e.g. images) Preferred Qualifications: - Experience using Unix/Linux
• - Experience in professional software development
• - Experience with training and evaluating LLMs

• Amazon is an equal opportunities employer. We believe passionately that
• employing a diverse workforce is central to our success. We make recruiting
• decisions based on your experience and skills. We value your passion to
• discover, invent, simplify and build. Protecting your privacy and the security
• of your data is a longstanding top priority for Amazon. Please consult our
• Privacy Notice (https://www.amazon.jobs/en/privacy_page
• [https://www.amazon.jobs/en/privacy_page]) to know more about how we collect,
• use and transfer the personal data of our candidates.

• Amazon is an equal opportunity employer and does not discriminate on the basis
• of protected veteran status, disability, or other legally protected status.

• Our inclusive culture empowers Amazonians to deliver the best results for our
• customers. If you have a disability and need a workplace accommodation or
• adjustment during the application and hiring process, including support for the
• interview or onboarding process, please visit
• https://amazon.jobs/content/en/how-we-hire/accommodations
• [https://amazon.jobs/content/en/how-we-hire/accommodations] for more
• information. If the country/region you’re applying in isn’t listed, please
• contact your Recruiting Partner.