Language Engineer, Alexa Domains

We are seeking a Language Engineer with experience in 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. Key responsibilities include generating high-quality data, running and evaluating experiments, and prompt engineering our Large Language Model for API delivery.

You will:

• Collaborate with Scientists and Software Engineers to design APIs and evaluate LLM performance
• Produce and manipulate language data, analyze, and provide efficient solutions
• Design and lead data collection efforts
• Engineer prompts for generative AI
• Automate operations and perform data analysis using Python or other scripting languages
• Test and deploy changes to Alexa's language understanding codebase
• Identify and solve production issues impacting the Alexa customer experience
• Collaborate with linguists, scientists, and designers to create optimal solutions
• Own customer-facing machine learning and deterministic models for specific feature domains

You will join the Alexa Communications team, focusing on connecting friends and family. This role requires strong analytical skills and language technology experience to measure, analyze, and solve complex problems in speech and language data processing.

The ideal candidate will have:

• Bachelor's or Master's Degree in Linguistics, Computational Linguistics, NLP, or related field
• 5+ years of relevant work experience
• Experience with Python or other scripting languages
• Basic Java knowledge
• Experience with database queries
• Knowledge of NLP, Machine Learning, or Large Language Models
• Familiarity with Regex, SQL, MS Excel, and Git
• Strong communication and organizational skills
• Ability to work in a fast-paced, collaborative environment

Preferred qualifications include:

• Master's degree or equivalent experience in a relevant field
• Experience in data science and quantitative research
• Hands-on experience with machine learning and deep learning in NLP and search
• Experience with AWS services
• Knowledge of user experience concepts and methods

Amazon offers a competitive compensation package, including equity and benefits. The base pay for this position ranges from $67,700/year to $151,400/year, depending on the geographic market.