Amazon
Applied Scientist III
Amazon, Santa Clara, California, us, 95053
Amazon is looking for world-class Applied Scientists to join its AWS AI Labs with expertise in AI-assistants focusing on conversational-retrieval augmented generation (RAG), agent orchestration, multi-modal and multi-lingual chat agents, etc. You will be joining a team of applied scientists developing robust and scalable machine learning solutions for enterprise conversational assistants. You will interact in a cross-functional capacity with product and engineering leaders, as well as with our customers and the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with acclaimed engineers and world-class scientists.
About the teamAmazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and take actions, securely completing the tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. As a member of the Q team, you’ll work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into the Q assistant.
Responsibilities:- Optimize large language models for efficiency.- Implement solutions to enhance and build new functionalities into the Q assistant.- Collaborate with cross-functional teams including product and engineering leaders.
Minimum 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 neural deep learning methods and machine learning.- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.- Experience with large-scale distributed systems such as Hadoop, Spark, etc.
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 $150,400/year in our lowest geographic market up to $260,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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About the teamAmazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and take actions, securely completing the tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. As a member of the Q team, you’ll work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into the Q assistant.
Responsibilities:- Optimize large language models for efficiency.- Implement solutions to enhance and build new functionalities into the Q assistant.- Collaborate with cross-functional teams including product and engineering leaders.
Minimum 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 neural deep learning methods and machine learning.- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.- Experience with large-scale distributed systems such as Hadoop, Spark, etc.
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 $150,400/year in our lowest geographic market up to $260,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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