Amazon
Sr. Applied Scientist, Amazon Rufus | Search
Amazon, Washington, District of Columbia, us, 20022
Sr. Applied Scientist, Amazon Rufus | Search
Job ID: 2828178 | Amazon.com Services LLC The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large Language Models (LLMs), we aim to redefine navigation and decision-making in e-commerce by deeply understanding our users' shopping missions, preferences, and goals. By developing responsive and scalable solutions, we not only accomplish the shopping mission but also foster unparalleled trust among our customers. We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application. Key job responsibilities In this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will: Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems Analyze log data to determine future system design and configure parameters Build scalable and production-ready data pipelines to extract features from petabytes of raw data Integrate models and algorithms in complex, real-time production systems on immense scale Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms Serve as a liaison to our customer/seller-facing partner teams in case of escalations Project manage cross-functional Machine Learning initiatives BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with Large Language Models PREFERRED QUALIFICATIONS
- Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience with conducting research in a corporate setting 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.
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Job ID: 2828178 | Amazon.com Services LLC The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large Language Models (LLMs), we aim to redefine navigation and decision-making in e-commerce by deeply understanding our users' shopping missions, preferences, and goals. By developing responsive and scalable solutions, we not only accomplish the shopping mission but also foster unparalleled trust among our customers. We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application. Key job responsibilities In this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will: Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems Analyze log data to determine future system design and configure parameters Build scalable and production-ready data pipelines to extract features from petabytes of raw data Integrate models and algorithms in complex, real-time production systems on immense scale Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms Serve as a liaison to our customer/seller-facing partner teams in case of escalations Project manage cross-functional Machine Learning initiatives BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with Large Language Models PREFERRED QUALIFICATIONS
- Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience with conducting research in a corporate setting 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.
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