Sr. Language Data Scientist, Alexa International Tech

Job Description

Alexa International Tech (AIT) team is looking for a talented Sr language Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.

Requirements

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression

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

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)