The Alexa Shopping team is seeking a Language Engineer with experience in the field of Natural Language Processing, Machine Learning, or Large Language Models, as well as expertise in handling large data sets and strong analytical skills. You will play a critical role in innovative projects by driving design of Alexa Shopping features. The key responsibilities are to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists, Editors, and program managers to ensure we're providing the best voice shopping experience for millions of our customers.
As a Language Engineer, you will start by diving deep into a couple of critical projects across Alexa Shopping experiences. You will collaborate with fellow Language Engineers, Data Scientists, Program Managers, and stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement.
You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other Language Engineers and Scientists to design and implement principled strategies for data optimization.
Key job responsibilities
Key job responsibilities
- Collaborate with scientists and software engineers to help design APIs and evaluate performance of LLM's
- Produce and manipulate different types of language data, analyze and provide efficient solutions
- Design and lead a data collection; define scope and target, provide a guideline and training, guide teams cross sites to meet the quality bar, and run evaluation of data for hand off
- Engineer prompts to guide generative AI to produce desired outputs in context
- Automate operations and perform data analysis using Python or other scripting language
- Advocate strict adherence to annotation guidelines
- Test and deploy changes to Alexa's language understanding codebase
- Identify and solve production issues that are impacting the Alexa customer experience
- Collaborate with other linguists, scientists, and designers in creating optimal solutions to elevate the customer experience
Basic qualifications
- 1+ year of experience in LLM or API development
- Experience in Python or Java basics
- Experience in Java basics
- Experience with database queries
- Experience in Natural Language Processing, Machine Learning, or Large Language Models
- Excellent communication, strong organizational skills and detail-oriented
- Comfortable working in a fast paced, highly collaborative, and dynamic work environment
- PhD in computational linguistics or equivalent field with computational analysis, or work experience equivalent
- Expertise in Spanish language
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $51,000/year in our lowest geographic market up to $114,100/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.
