Language Engineer, Artificial General Intelligence - Data Services at Amazon Corporate Services Pty Ltd

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

131100.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Computational Linguistics, Language Annotation, Dataset Construction, Natural Language Processing, Machine Learning, Data Analysis, Scripting Languages, Semantic Schemas, Statistical Language Modeling, SQL, R, Matlab, Version Control, Agile Development, FSTs

Industry

Software Development

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 Basic Qualifications: - Experience in one or more scripting languages (e.g., Python, Ruby, Perl) - Experience working with speech and text language data in multiple languages - Masters’s or higher degree in a relevant field (computational linguistics or equivalent field with computational analysis) - 2+ years experience in computational linguistics or language data processing - Experience with language annotation and other forms of data markup - Excellent communication, strong organizational skills and very detailed oriented - Comfortable working in a fast paced, highly collaborative, dynamic work environment Preferred Qualifications: - Experience in writing grammars and building FSTs - Knowledge of version control and agile development - 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 with statistical language modeling - 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits [https://amazon.jobs/en/benefits]. USA, CA, Sunnyvale - 74,900.00 - 131,100.00 USD annually USA, MA, Boston - 65,200.00 - 114,000.00 USD annually USA, WA, BELLEVUE - 80,200.00 - 114,000.00 USD annually

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Language Engineer will design data collection tasks, author instructions, and implement quality mechanisms for AGI data services. They will also build analysis tools and collaborate with scientists to evaluate the performance of language models.