Language Engineer II, Alexa CommunicationsWe are 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 the 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 responsibilitiesCollaborate 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 languages.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. About the teamAlexa Communications is looking for a Language Engineer to join our Language Understanding Experience team in the area of speech and language data processing.
In this role, you are responsible for the design and delivery of Language Understanding using your linguistic, voice user interface (VUI) design, and data analysis skills to understand what a customer meant.
You are a key member in new feature development while proactively improving existing experiences.
You work closely with other Language Engineers, Product Managers, Scientists, and Engineers to deliver magical experiences that customers love.
BASIC QUALIFICATIONSBachelor's or Master's Degree in Linguistics, Computational Linguistics, Natural Language Processing (NLP), or other related field.Relevant work experience of 5+ years.Experience in Python or another scripting languages.Experience in Java basics.Experience with database queries.Experience in Natural Language Processing, Machine Learning, or Large Language Models.Knowledge of Regex, SQL, MS Excel, Git.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 QUALIFICATIONSMaster or equivalent experience in a relevant field (computational linguistics or equivalent field with computational analysis).Able to think creatively and possess strong analytical and problem-solving skills.Experience or understanding in data science and quantitative research.Experience with language annotation and other forms of data markup.Hands-on experience with machine learning and deep learning techniques in the fields of NLP and search.Experience with AWS services (S3, Sagemaker, ML language services, etc.
).Knowledge of user experience concepts and methods. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
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