Principal Applied Scientist, AWS Agentic AI Science
Job Description
AWS Agentic AI is looking for a world-class Applied Scientist with a strong deep learning background to help build industry-leading Agentic AI (models, systems, and applications). Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), AI assisted code development, reasoning and planning with LLMs, LLM training and fine-tuning, and Applied Machine Learning (ML). As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in Agentic AI. Your work will directly impact millions of our customers in the form of products and services that make use AI technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring in all areas of Agentic AI: NLP/NLU, Conversational AI, Reasoning and Planning, LLM model training, and application development.Key job responsibilities- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.- Mentor and guide junior scientists.- Develop technology strategy and roadmap supporting product development- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholdersAbout the teamThe Amazon Web Services (AWS) Agentic AI team uses generative AI and foundation models to advance application development. In the space of software development and life cycle management, we see the application of AI anywhere: from the IDE to web-based tools and services, AI helps engineers work many applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
250,000 - 400,000 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 10+ years of CS, CE, ML or related field experienceintermediate
- - 8+ years of building models for business application experienceintermediate
- - Experience in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.intermediate
Required Qualifications
- - PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience (experience, 10 years)
- - 8+ years of building models for business application experience (experience, 8 years)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering. (experience)
Preferred Qualifications
- • Experience using Unix/Linux (experience)
- • Experience in professional software development (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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)
Responsibilities
- - Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- - Mentor and guide junior scientists.
- - Develop technology strategy and roadmap supporting product development
- - Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- - Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders
- About the team
- The Amazon Web Services (AWS) Agentic AI team uses generative AI and foundation models to advance application development. In the space of software development and life cycle management, we see the application of AI anywhere: from the IDE to web-based tools and services, AI helps engineers work many applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
- If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.
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Principal Applied Scientist, AWS Agentic AI Science
Job Description
AWS Agentic AI is looking for a world-class Applied Scientist with a strong deep learning background to help build industry-leading Agentic AI (models, systems, and applications). Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), AI assisted code development, reasoning and planning with LLMs, LLM training and fine-tuning, and Applied Machine Learning (ML). As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in Agentic AI. Your work will directly impact millions of our customers in the form of products and services that make use AI technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring in all areas of Agentic AI: NLP/NLU, Conversational AI, Reasoning and Planning, LLM model training, and application development.Key job responsibilities- Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.- Mentor and guide junior scientists.- Develop technology strategy and roadmap supporting product development- Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype- Write technical reports summarizing R&D progresses and communicate such progresses with stakeholdersAbout the teamThe Amazon Web Services (AWS) Agentic AI team uses generative AI and foundation models to advance application development. In the space of software development and life cycle management, we see the application of AI anywhere: from the IDE to web-based tools and services, AI helps engineers work many applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
250,000 - 400,000 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 10+ years of CS, CE, ML or related field experienceintermediate
- - 8+ years of building models for business application experienceintermediate
- - Experience in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering.intermediate
Required Qualifications
- - PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience (experience, 10 years)
- - 8+ years of building models for business application experience (experience, 8 years)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience in any of the following areas: AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, static code analysis, software engineering. (experience)
Preferred Qualifications
- • Experience using Unix/Linux (experience)
- • Experience in professional software development (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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)
Responsibilities
- - Develop breakthroughs is agentic architecture in areas such as autonomy, self-validation, and continuous learning.
- - Mentor and guide junior scientists.
- - Develop technology strategy and roadmap supporting product development
- - Develop prototypes for key technology, oversee the productization of the prototype, and develop critical assessment for the prototype
- - Write technical reports summarizing R&D progresses and communicate such progresses with stakeholders
- About the team
- The Amazon Web Services (AWS) Agentic AI team uses generative AI and foundation models to advance application development. In the space of software development and life cycle management, we see the application of AI anywhere: from the IDE to web-based tools and services, AI helps engineers work many applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
- If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.