Language Engineer II, Operations Team

Job Description

The Alexa Shopping team is seeking a Language Engineer with experience in Natural Language Processing, Machine Learning, and Large Language Models to drive design of Alexa Shopping features and ensure the best voice shopping experience for customers.

Requirements

• 3+ years of designing APIs and working on LLM development
• Experience in Python or another scripting languages
• Experience in Java basics
• Experience with database queries
• Practical knowledge of version control and agile development
• Excellent communication, strong organizational skills and detail-oriented

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 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 handoff
• 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 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

Benefits

• Medical, dental, and vision coverage (multiple plan options)
• Health savings and flexible spending accounts
• 24/7 Employee Assistance Program for mental health support
• 401(k) with company match and various investment choices
• Company-paid life/AD&D and disability insurance
• Restricted stock units (RSUs) for employee ownership
• Child care and elder care referrals, adoption assistance
• Paid maternity and parental leave (including Ramp Back)
• Paid time off (PTO) and company holidays
• Employee discount on Amazon.com products
• Career Choice program (95% tuition and textbook coverage)