Description

The Artificial General Intelligence (AGI) Information team is looking for a passionate, and talented Senior Applied Scientist with a strong experience in cutting-edge LLM technologies.

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 information into AI systems (e.g. with RAG techniques), and you will get to immediately apply your results in highly visible Amazon products.

If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience working in high-performing research teams, 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 the velocity and impact of your contributions.

Key job responsibilities

• Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).

• Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.

• Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.

About the team

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 experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience

• 3+ years of building machine learning models for business application experience

• Experience programming in Java, C++, Python or related language

• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, or natural language processing

• 4+ years experience in building conversational AI and/or natural language processing systems.

• Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.)

• Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.