Sr. Language Engineer, Artificial General Intelligence - Data Services, Artificial General Intellig - Amazon

Description The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences. Key job responsibilities Specifically, the Language Engineer will: - Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Analyze and extract language-related insights from large amounts of data - Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language - Use modeling tools to bootstrap or test new functionalities - Collaborate with scientists and software engineers to evaluate performance of language models - Handle competing requests from a range of data customers We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, USA Basic Qualifications - Masters's or higher degree in a relevant field (computational linguistics or equivalent field with computational analysis) - 4+ years experience in computational linguistics or language data processing - Experience with language annotation and other forms of data markup - Experience with scripting languages, such as Python - Experience working with speech and text language data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications - PhD in Computational Linguistics (or equivalent field with computational emphasis) - Expertise in bootstrapping language data collections in a quickly changing environment - Comfortable working with speech and text language data in multiple languages - Experience in writing grammars and building FSTs - Experience with statistical language modeling - Practical knowledge of version control and agile development - Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.) - Willingness to support several projects at one time, and to accept reprioritization as necessary - Able to think creatively and possess strong analytical and problem solving skills 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 $74,700/year in our lowest geographic market up to $185,000/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.