Amazon Business

These foundation models are also used in downstream applications by various partner teams in Amazon Stores.. The candidate is expected to develop machine learning (ML) techniques for LLM Alignment and Personalization.. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

applied scientist

Description Amazon’s product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping. The candidate is expected to develop machine learning (ML) techniques for LLM Alignment and Personalization. This is a rare opportunity to develop cutting edge AI/ML technologies in these areas and apply them to problems of this magnitude. Basic Qualifications <ul><li> PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field</li><li> Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li> 3+ years of building machine learning models or developing algorithms for business application experience</li><li> Experience programming in Java, C++, Python or related language</li><li> Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing </li></ul>Preferred Qualifications <ul><li> Knowledge and expertise in Deep Reinforcement Learning (RL) and RL foundations.</li><li> Experience with RL and dialogue management systems and background in personalization and recommendation systems are desirable.</li><li> Good background in mathematics and statistics is always a plus. </li></ul>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 $136,000/year in our lowest geographic market up to $222,200/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. Company - Amazon.com LLC - A03 Job ID: A2564902

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