We 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 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.
Alexa Communications (connecting friends and family) is looking for a Language Engineer to join our Language Understanding Experience team in the area of speech and language data processing. We are seeking a candidate with strong analytical skills and language technology experience to help us measure, analyze and solve complex problems. 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.
Key job responsibilities
Specifically, the Language Engineer will:
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
* Bachelor’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
* Master 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.
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