DescriptionAre you interested in working in the exciting space of Generative Artificial Intelligence (GenAI) to build Agents that will test Amazon product experience and inform how teams across Amazon think about designing world class products? Amazon is looking for an experienced, talented, and highly motivated Sr. Research Scientist to join our Customer Experience and Business Trends (CXBT) team.The right candidate has an unrelenting tenacity to drive business impact, strong communication skills, ability to influence through data, and is capable of breaking down and solving complex and ambiguous problems.As a Sr. Research Scientist, you have expertise in research design best practices and identifying the appropriate research methodology based on the defined business objectives. You are a self-starter who thrives in ambiguity and can creatively solve problems. You have excellent business judgement and operate with a strong sense of urgency and commitment. You will have the ability to work with and influence businesses in a global setting and drive strategic change across Amazon.You will be responsible for delivering cutting edge GenAI products utilizing Agents, and developing and launching novel ways to create datasets that will monitor Amazon's performance across multiple modalities (e.g., speech, text, image, video, audio) based on Amazon's breadth of product offerings. You will work closely with product managers and engineers to develop new methodologies utilizing GenAI technologies and Natural Language Processing (NLP).We are looking for a passionate, talented, and inventive Sr. Research Scientist with a background in Machine Learning (ML) and Large Language Models (LLMs) to help build industry-leading GenAI Agent and Data Generation technology.Key job responsibilities
Work with talented peers to develop novel algorithms and modeling techniques to drive the state of the art in speech synthesis.
Participate in the design, development, evaluation, deployment and updating of data-driven models for GenAI agents and data set generation applications.
Participate in research activities including the application and evaluation of Agent techniques for novel applications.
Research and implement novel ML and statistical approaches to add value to the business.
Mentor junior engineers and scientists.
Build strategic relationships with stakeholders at multiple levels of the organization.
Partner with team members including engineering, product managers, data science, and business intelligence engineers to inform solution design and ensure study success.
Contribute to a team culture of experimentation and innovation.
About the teamCustomer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings - for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds - including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.Basic Qualifications
PhD, or Master's degree and 4+ years of quantitative field research experience
3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
Experience communicating qualitative research methods and findings to non-qualitative researchers
Preferred Qualifications
Experience with discrete and continuous optimization methodologies and algorithms
Experience converting research studies into tangible real-world changes
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 $143,300/year in our lowest geographic market up to $247,600/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.