AI Language Engineer, Amazon Rufus

The Conversational Shopping team is looking for a Language Engineer to drive efficiencies and innovation in its efforts to deliver a seamless fluent and engaging experience for AI-assisted shopping. This is an opportunity to join the high-performing team behind Amazons Generative AI shopping initiatives such as Rufus AI Amazons Conversational Shopping assistant. Our objective is to make it easy for customers worldwide to find and discover the best products meet their personalized needs with product research providing comparisons and recommendations answering specific product questions and more. This role is inherently high-visibility and highly cross-functional requiring collaboration and influence across global product design science and engineering teams.

We are looking for candidates who are passionate about the intersection of language and technology and who are keen to use their technical abilities to develop automated scalable solutions to questions in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs coding and linguistics (i.e. semantics syntax pragmatics) they will overcome complex problems in natural language processing (NLP) language understanding and automated AI evaluations.

In this role within the Editorial team they will act as one of the driving forces behind our evaluation-driven product development strategy. They will design processes to facilitate the production of high quality editorial data which will allow us to evaluate and improve the Shopping AI experience in different languages. To do so they will be tasked with the creation and development of LLM-assisted editorial tools automated verification scripts and automated annotations (e.g. LLM-as-a-judge) to support the humans-in-the-loop (HITL) work of the broader Editorial team. They will lead and drive the requirements behind data annotation tasks and tooling writing intuitive annotation guidelines and guiding the creation of the tools adapted to these workflows. They will employ their data processing and analysis skills to track team productivity and measure output quality. They will work in close collaboration with other Language Engineers AI Editors Product Managers Applied Scientists and Software Engineers on initiatives that drive editorial quality speed and consistency. By creating and synthesizing quality metrics they will also guide Conversational Shopping teams in delivering both internal stakeholder requirements and achieve the desired Amazon customer outcomes.

This role requires strong analytical and technical skills as well as experience in language technology to help us measure analyze and solve complex problems. They should have experience in creating technical solutions for automating and processing data workflows at scale and have the ability to do so while upholding the highest linguistic quality standards. They should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams.

Key job responsibilities
* Produce process and manipulate different types of language data analyze and provide efficient solutions
* Automate operations and perform data analysis using coding/scripting language (e.g. Python)
* Develop LLM-assisted workflows and annotations solutions (e.g. LLM-as-a-judge) to support Human-in-the-loop evaluations
* Design and lead editorial data production/collection by defining scope with internal customer teams
* Define clear editorial workflows (SOPs) to meet or exceed the quality bar
* Adopt and design control mechanisms metrics and methodologies for editorial and annotation quality
* Maximize productivity process efficiency and quality through streamlined workflows process standardization documentation audits and investigations on a periodic basis.
* Collaborate with editors applied scientists engineers and product managers to deliver the optimal customer experience and define metrics guidelines and workflows to continue doing so
* Establish processes and mechanisms to onboard and train editors on an ongoing basis.
* Handle work prioritization and deliver based on business priorities.
* Be flexible in changes to conventions deployed in response to customers requests and change workflows accordingly.

- Masters degree or above in Computational Linguistics
- Experience owning and executing language data collection projects including guidelines labelset and annotation workflow development

- 2 years of computational linguistics language data processing semantics philosophy of language experience

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

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 82700.00 - 144800.00 USD annually