Job Details

The Alexa Customer Journeys 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 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, and program managers to ensure we're providing the best Alexa experience for millions of our customers.

As a Language Engineer, you will start by diving deep into a couple of critical projects across Alexa 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

1. Collaborate with scientists and software engineers to help design APIs and evaluate performance of LLMs
2. Produce and manipulate different types of language data, analyze and provide efficient solutions
3. 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
4. Engineer prompts to guide generative AI to produce desired outputs in context
5. Automate operations and perform data analysis using Python or other scripting language
6. Advocate strict adherence to annotation guidelines
7. Test and deploy changes to Alexa's language understanding codebase
8. Identify and solve production issues that are impacting the Alexa customer experience
9. Collaborate with other linguists, scientists, and designers in creating optimal solutions to elevate the customer experience
10. Own the customer-facing machine learning and deterministic models for a specific domain of features
11. Use modeling tools to bootstrap and test new functionalities

BASIC QUALIFICATIONS

1. Experience in Python or another scripting languages
2. Experience in Java basics
3. Experience with database queries
4. Experience in Natural Language Processing, Machine Learning, or Large Language Models
5. Practical knowledge of version control and agile development
6. Excellent communication, strong organizational skills and detail-oriented
7. Comfortable working in a fast paced, highly collaborative, and dynamic work environment

PREFERRED QUALIFICATIONS

1. PhD in computational linguistics or equivalent field with computational analysis, or work experience equivalent
2. Able to think creatively and possess strong analytical and problem solving skills

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, disability, age, or other legally protected status.