Member of Technical Staff, Artificial General Intelligence

Amazon; Asti; In loco; EUR 129.000 - 224.000; Tempo pieno

Descrizione del lavoro

A leading technology company is seeking a Member of Technical Staff to join their Artificial General Intelligence team in Italy. The successful candidate will have a strong background in deep learning and generative models, and will lead the development of innovative algorithms and modeling techniques to enhance GenAI technology using large language models. Competitive salary and benefits offered.

Competenze

• PhD, or Master’s degree and 2+ years of CS, CE, ML or related field experience.
• 2+ years of building models for business application experience.
• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF.
• Experience programming in Java, C++, Python or related language.

Mansioni

• Lead the development of algorithms and modeling techniques for LLMs.
• Lead foundational model development in an applied research role.
• Design datasets and perform pre- and post-training optimization.

Conoscenze

Deep learning

Generative deep learning models

Programming in Java

Programming in C++

Programming in Python

Experience with GANs

Formazione

PhD in Computer Science or related field

Master's degree in related field with 2+ years experience

Strumenti

PyTorch

Descrizione del lavoro

Member of Technical Staff, Artificial General Intelligence

Job ID: 3124744 | Amazon.com Services LLC

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.

As a Member of Technical Staff with the AGI team, you will lead the development of algorithms and modeling techniques to advance the state of the art with LLMs. You will lead 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 through products and services that use GenAI technology, leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

About the team: The AGI team’s mission is to push the envelope in GenAI with LLMs and multimodal systems to provide the best-possible experience for our customers.

Basic Qualifications

• PhD, or Master’s degree and 2+ years of CS, CE, ML or related field experience
• 2+ years of building models for business application experience
• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
• Experience programming in Java, C++, Python or related language

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 and San Francisco Fair Chance Ordinance applicants with arrest and conviction records will be considered for employment. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation, visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Compensation for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in the highest geographic market. Equity, sign‑on payments, and other benefits may be provided as part of a total compensation package, in addition to medical, financial, and other benefits.