Amazon
Senior Applied Scientist, Artificial General Intelligence
Amazon, Seattle, Washington, us, 98127
Job ID: 2816628 | Amazon.com Services LLC
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 Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in conversational AI.
About the teamOur team’s mission is to deliver general-purpose multimodal foundation models across a wide range of applications. We are responsible for building state-of-the-art general-purpose adaptable multimodal foundation models and advancing model architecture and optimization technologies at various stages of model building, including pre-training, context length extension, fine-tuning, and post-training optimization/adaptation. We partner with other teams to achieve state-of-the-art performance. We support product teams to deliver innovative conversational AI solutions to a broad set of customers and use cases.
BASIC QUALIFICATIONS
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 5+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
Experience with popular deep learning frameworks such as Pytorch and Tensor Flow
5+ years of building machine learning models for business application
Experience with generative models applicable to the creation of speech and text
Experience with conducting research
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Effective verbal and written communication skills with non-technical and technical audiences
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.
Posted:
October 25, 2024
(Updated about 4 hours ago)
Posted:
October 31, 2024
(Updated about 5 hours ago)
Posted:
August 16, 2024
(Updated about 7 hours ago)
Posted:
October 30, 2024
(Updated about 11 hours ago)
Posted:
September 9, 2024
(Updated about 12 hours ago)
#J-18808-Ljbffr
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 Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilitiesAs a Senior Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in conversational AI.
About the teamOur team’s mission is to deliver general-purpose multimodal foundation models across a wide range of applications. We are responsible for building state-of-the-art general-purpose adaptable multimodal foundation models and advancing model architecture and optimization technologies at various stages of model building, including pre-training, context length extension, fine-tuning, and post-training optimization/adaptation. We partner with other teams to achieve state-of-the-art performance. We support product teams to deliver innovative conversational AI solutions to a broad set of customers and use cases.
BASIC QUALIFICATIONS
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 5+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
Experience with popular deep learning frameworks such as Pytorch and Tensor Flow
5+ years of building machine learning models for business application
Experience with generative models applicable to the creation of speech and text
Experience with conducting research
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Effective verbal and written communication skills with non-technical and technical audiences
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.
Posted:
October 25, 2024
(Updated about 4 hours ago)
Posted:
October 31, 2024
(Updated about 5 hours ago)
Posted:
August 16, 2024
(Updated about 7 hours ago)
Posted:
October 30, 2024
(Updated about 11 hours ago)
Posted:
September 9, 2024
(Updated about 12 hours ago)
#J-18808-Ljbffr