Applied Scientist, AGI Information
Job Description
We are looking for a researcher in state-of-the-art LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products.If you are deeply familiar with LLMs, natural language processing, and machine learning and thrive in a fast-paced environment, this may be the right opportunity for you. Our fast-paced environment requires a high degree of autonomy to deliver ambitious science innovations all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your deliverables.It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide!
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - 1+ years of building models for business application experienceintermediate
- - Experience with natural language processing and/or processing of multi-modal data (e.g. images)intermediate
Required Qualifications
- - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience (experience, 3 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - 1+ years of building models for business application experience (experience, 1 years)
- - Experience with natural language processing and/or processing of multi-modal data (e.g. images) (experience)
Preferred Qualifications
- - PhD (degree)
- - Experience using Unix/Linux (experience)
- - Experience developing, implementing, and evaluating deep learning algorithms and LLMs. (experience)
- 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 $223,400/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. (experience)
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Applied Scientist, AGI Information
Job Description
We are looking for a researcher in state-of-the-art LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products.If you are deeply familiar with LLMs, natural language processing, and machine learning and thrive in a fast-paced environment, this may be the right opportunity for you. Our fast-paced environment requires a high degree of autonomy to deliver ambitious science innovations all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your deliverables.It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide!
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experienceintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - 1+ years of building models for business application experienceintermediate
- - Experience with natural language processing and/or processing of multi-modal data (e.g. images)intermediate
Required Qualifications
- - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience (experience, 3 years)
- - Experience programming in Java, C++, Python or related language (experience)
- - 1+ years of building models for business application experience (experience, 1 years)
- - Experience with natural language processing and/or processing of multi-modal data (e.g. images) (experience)
Preferred Qualifications
- - PhD (degree)
- - Experience using Unix/Linux (experience)
- - Experience developing, implementing, and evaluating deep learning algorithms and LLMs. (experience)
- 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 $223,400/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. (experience)