Applied Scientist, AGI Info - Web Information Systems

Amazons Artificial General Intelligence (AGI) organization is developing a next-generation web search system to support RAG applications across Amazon. We are looking for a Applied Scientist with expertise in information retrieval (IR) and ranking to join the team!

If you are looking for an opportunity to develop innovative solutions to deep technical problems in web-scale IR having a massive customer impact this might be the role for you! As a Applied Scientist you will work with smart passionate colleagues in a fast-paced environment. You will invent develop and help deploy novel scalable algorithms to advance the state-of-the-art in our IR stack. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will develop and help lead the execution of multi-year research roadmaps enabling the team to focus on the right technical challenges to delight our customers.

Key job responsibilities
As an Applied Scientist you will apply scientific rigor to your work. You will deliver incrementally setting up and executing experiments informed by rigorous failure space analysis of prior experiments. You have a knack for writing clear succinct and informative reports of your experiments. You collaborate and seek guidance from other scientists on your team to define the next experiments. You collaborate closely with engineers to bring your innovations into production. You work continuously with customers and stakeholders to simplify and adapt to deliver for our customers.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 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 building machine learning models or developing algorithms for business application

- Experience using Unix/Linux
- Experience in professional software development
- - PhD in Computer Science Electrical Engineering or Mathematics with specialties in information retrieval natural language processing or machine learning
- - 3 years experience in building ML-based search or recommendation systems at scale
- - Publications at peer-reviewed conferences (e.g. SIGIR WWW CIKM ACL EMNLP NAACL NeurIPS ICLR)

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.