Amazon.com Services LLC
Senior Applied Scientist, Artificial General Intelligence
Amazon.com Services LLC, Boston, Massachusetts, us, 02298
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background to build industry-leading technology with Large Language Models (LLMs) and multi-modal systems. You will lead projects that work on cutting-edge technologies including multi-modal model alignment, moderation systems, and evaluation.
Key job responsibilities:Lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.Impact customers through products and services that utilize speech and language technology.Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).Publish in top-tier conferences.
About the team:The AGI team has a mission to push the envelope in LLMs and multimodal systems. Specifically, we focus on model alignment with an aim to maintain safety while not denting utility, in order to provide the best-possible experience for our customers.
Minimum Qualifications:PhD in Computer Science, Electrical Engineering, Mathematics or related field.5+ years of applied research experience.5+ years of building machine learning models for business applications.Strong experience with multi-modal model alignment, moderation systems, and evaluation with Generative Artificial Intelligence (GenAI).Experience programming in Java, C++, Python or related language.Experience with neural deep learning methods and machine learning.Experience with popular deep learning frameworks, including PyTorch.Experience with patents or publications at top-tier peer-reviewed conferences or journals.
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.
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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Key job responsibilities:Lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.Impact customers through products and services that utilize speech and language technology.Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).Publish in top-tier conferences.
About the team:The AGI team has a mission to push the envelope in LLMs and multimodal systems. Specifically, we focus on model alignment with an aim to maintain safety while not denting utility, in order to provide the best-possible experience for our customers.
Minimum Qualifications:PhD in Computer Science, Electrical Engineering, Mathematics or related field.5+ years of applied research experience.5+ years of building machine learning models for business applications.Strong experience with multi-modal model alignment, moderation systems, and evaluation with Generative Artificial Intelligence (GenAI).Experience programming in Java, C++, Python or related language.Experience with neural deep learning methods and machine learning.Experience with popular deep learning frameworks, including PyTorch.Experience with patents or publications at top-tier peer-reviewed conferences or journals.
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.
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.
#J-18808-Ljbffr