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Posted via Amazon Jobs

Member of Technical Staff, Artificial General Intelligence

Posted Aug 3, 2026

Role at a glance

Salary
Not Disclosed
Location
Sunnyvale, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
1+ years of building models for business application experience
Education
PhD, or a Master's degree and experience in CS, CE, ML or related field

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Role Summary

AI-generated

The AGI team is developing generative AI technology using large language models and multimodal systems. This applied research role supports foundational model development and aims to advance products and services that use GenAI technology.

What You'll Do

  • Support the development of algorithms and modeling techniques for LLMs.
  • Support foundational model development in an applied research role.
  • Conduct model training.
  • Design datasets.
  • Perform pre- and post-training optimization.
  • Leverage heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required

  • PhD, or a Master's degree and experience in CS, CE, ML or related field
  • Experience with neural deep learning methods and machine learning
  • 1+ years of building models for business application experience
  • Experience programming in Java, C++, Python or related language

Preferred

  • PhD in Computer Science, Computer Engineering, Machine Learning 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
  • Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

Original job description

Content provided by the employer

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Member of Technical Staff 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 responsibilities
As a Member of Technical Staff with the AGI team, you will support the development of algorithms and modeling techniques, to advance the state of the art with LLMs. You will support the foundational model development in an applied research role, including model training, dataset design, and pre- and post-training optimization. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

About the team
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.

Basic Qualifications

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience with neural deep learning methods and machine learning
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

Preferred Qualifications

- PhD in Computer Science, Computer Engineering, Machine Learning 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
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

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.
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About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.