Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive sr language data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge.

You will collaborate with fellow language data scientists, program managers, as well as 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 data scientists and scientists to design and implement principled strategies for data optimization.




Key job responsibilities
Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM

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

Own the customer-facing machine learning and deterministic models for a specific domain of features

Use modeling tools to bootstrap and test new functionalities