Research Scientist, Artificial General Intelligence - Data Services

Amazon • Boston, MA • 3h ago

Description

AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.

We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, 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, language engineers, and other scientists.

Key job responsibilities

Specifically, the Research Scientist will:

Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.

Clean, analyze and select speech/language/other data to achieve goals

Build and test models that elevate the customer experience

Collaborate with colleagues from science, engineering and business backgrounds

Present proposals and results in a clear manner backed by data and coupled with actionable conclusions

Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

Basic Qualifications

PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience

Experience investigating the feasibility of applying scientific principles and concepts to business problems and products

Experience in Python, Perl, or another scripting language

Experience with various machine learning techniques and parameters that affect their performance

Experience analyzing both experimental and observational data sets

Preferred Qualifications

Experience with statistical modelling / machine learning

Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations

Strong attention to detail and exceptional level of organization

Comfortable working in a fast paced, highly collaborative, dynamic work environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $113,000/year in our lowest geographic market up to $195,200/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.

Amazon

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