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Member of Technical Staff, Artificial General Intelligence

Post-Training & RL3mo ago
Source verified: this exact posting was present on Amazon’s careers feed on . View employer source →

What the posting asks for

Names
PyTorch, Python
Doctorate
Mentioned, without saying whether it is needed

Read out of the employer's own description. Absence means the posting does not say, not that the answer is no.

The role

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.

Published by Amazon on their own careers page and reproduced here unedited. Read it at Amazon.

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What this listing does not tell you

Listed 78 days. Of the 40 post-training and RL roles this board has watched from listing to removal, 33% were gone from their employer's careers page by day 78, and the median came down after 110 days. That is a description of other listings that have already ended, not a prediction about this one: this board records when a listing disappears, never why, and a posting still up is not on a clock it can see.

Pay is not confirmed for this role. Check the employer’s posting for current compensation. Explore published bands from other roles →

Amazon has 32 roles open on this board, 13 of them in post-training and RL.

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