Applied Scientist AGI Info - 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 reinventing knowledge graphs for the LLMera optimizing for LLM grounding and other LLMbased 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 selfmotivated 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.


Key job responsibilities
As an Applied Scientist you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems. You will collaborate with applied scientists and engineers to develop novel algorithms and modeling techniques to build the knowledge graph that delivers fresh factual knowledge to our customers and that automates the knowledge graph construction pipelines to scale to many billions of facts. Your first responsibility will be to solve entity resolution to enable conflating facts from multiple sources into a single graph entity for each real world entity. You will develop generic solutions that work fo all classes of data in AKG (e.g. people places movies etc. that cope with sparse noisy data that scale to hundreds of millions of entities and that can handle streaming data. You will define a roadmap to make progress incrementally and you will insist on scientific rigor leading by example.

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 highperformance computing

Experience using Unix/Linux
Experience in professional software development

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.

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.

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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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.