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
About the team
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.
BASIC QUALIFICATIONS
* 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
PREFERRED QUALIFICATIONS
* 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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $67,700/year in our lowest geographic market up to $151,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.