Job Description
DESCRIPTION
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities.
Key job responsibilities
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:
Scaling laws
Hardware-informed efficient model architecture, low-precision training
Optimization methods, learning objectives, curriculum design
Deep learning theories on efficient hyperparameter search and self-supervised learning
Learning objectives and reinforcement learning methods
Distributed training methods and solutions
AI-assisted research
About the team
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
BASIC QUALIFICATIONS
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
1+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
PREFERRED QUALIFICATIONS
PhD in Computer Science, Electrical Engineering, Mathematics or related field
Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
Experience with patents or publications at top-tier peer-reviewed conferences or journals
Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities.
Key job responsibilities
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:
Scaling laws
Hardware-informed efficient model architecture, low-precision training
Optimization methods, learning objectives, curriculum design
Deep learning theories on efficient hyperparameter search and self-supervised learning
Learning objectives and reinforcement learning methods
Distributed training methods and solutions
AI-assisted research
About the team
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
BASIC QUALIFICATIONS
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
1+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
PREFERRED QUALIFICATIONS
PhD in Computer Science, Electrical Engineering, Mathematics or related field
Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
Experience with patents or publications at top-tier peer-reviewed conferences or journals
Experience with popular deep learning frameworks, including PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
💡 Quick Summary
Seeking a career-building opportunity? The Applied Scientist, Artificial General Intelligence- job post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
