Description

The Artificial General Intelligence (AGI) organization is seeking a Language Engineer with experience in the field of Natural Language Processing, Machine Learning, or Large Language Models, expertise in handling large data sets, and strong analytic 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.

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.

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA | Cambridge, MA, USA

Basic Qualifications

• Master or equivalent experience in a relevant field (computational linguistics or equivalent field with computational analysis)

• Experience in Python or another scripting languages

• Experience in Natural Language Processing, Machine Learning, or Large Language Models

• Practical knowledge of version control and agile development

• Excellent communication, strong organizational skills and detail-oriented

• Comfortable working in a fast paced, highly collaborative, and dynamic work environment

Preferred Qualifications

• PhD in Linguistics, Computational Linguistics or relevant field

• Experience with database queries and data analysis processes (SQL, R, Matlab, etc.), and Unix

• Expertise in bootstrapping language data collections in a quickly changing environment

• 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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.