Sr. Applied Scientist (NLP, LLM), AGI - Web & Knowledge Services

Amazons AGI Information is seeking an exceptional Applied Scientist to drive science advancements in the Amazon Knowledge Graph team (AKG). AKG is re-inventing knowledge graphs for the LLM-era optimizing for LLM grounding and other LLM-based customer experiences. At the same time AKG is innovating to utilize LLMs in the knowledge graph construction pipelines to overcome obstacles that traditional technologies could not overcome.

As a member of the AKG Science team you will have the opportunity to work on interesting problems with immediate customer impact. The team is addressing challenges in automating gap detection data ingestion fact verification query optimization and entity resolution. Your initial focus will be on entity resolution and you will also have the opportunity to work with scientists working on the other challenges and with the engineering teams that deliver the science advancements to our customers.

A successful candidate has a strong machine learning and LLM background is a master of state of the art techniques has a strong publication record has a desire to push the envelope in one or more of the above areas and has a track record of delivering to customers. The ideal candidate enjoys operating in dynamic environments is self-motivated to take on new challenges and enjoys working with customers stakeholders and engineering teams to deliver big customer impact shipping solutions via rapid experimentation and then iterating on user feedback and interactions.

- 3 years of applied research experience
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language

- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

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 $150400/year in our lowest geographic market up to $260000/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.