Member of Technical Staff, Artificial General Intelligence
Verified live
Visa & eligibility
Accepts F-1 students
not published
Supports CPT
not published
Supports OPT
not published
Supports STEM OPT
not published
E-Verify employer
not published
Sponsorship stance
Unknown / not mentioned
The job
Location
US, CA, Sunnyvale
Work setting
Unclear
Hours per week
not published
Schedule
not published
Experience required
not published
New graduates accepted
not published
Skills mentioned
Compensation & benefits
Pay range
not published
Relocation assistance
not published
Health insurance
not published
Applying
Application deadline
not published
Typical response time
not published
Number of applicants
not published
Posting verified
Verified live
Last checked
Sept. 22, 2026, 2:30 a.m.
Applies directly to employer
Yes
Apply on the employer's site →
Employer
Company
Amazon
Industry
Retail / Grocery / Delivery
Company size
not published
Contact
not published
Contact email
not published
Source
Amazon Corporate (CA)
Full description
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.<br/><br/>Key job responsibilities<br/>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.<br/><br/>About the team<br/>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.
- PhD, or a Master's degree and experience in CS, CE, ML or related field<br/>- Experience with neural deep learning methods and machine learning<br/>- 1+ years of building models for business application experience<br/>- Experience programming in Java, C++, Python or related language
- PhD in Computer Science, Computer Engineering, Machine Learning or related field<br/>- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)<br/>- Experience with patents or publications at top-tier peer-reviewed conferences or journals<br/>- Experience with popular deep learning frameworks, including PyTorch<br/>- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF<br/><br/>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br/><br/>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.<br/><br/>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Eligibility signals are matched from the employer's own wording and shown with the source text so you can check them. A blank field means the posting did not say — not that the answer is no.
This is informational only and is not immigration advice. Confirm your work authorization with your DSO before accepting any role.