Applied Scientist II, Artificial General Intelligence

Amazon; Boston (MA); On-site; USD 69,000 - 180,000; Full time

Job summary

Amazon seeks an Applied Scientist II for their Artificial General Intelligence team in Boston. This role involves driving innovation in AI technology using deep learning and LLMs. Candidates should hold a PhD and possess programming experience in Java, C++, or Python, along with practical experience in model building and deep learning techniques.

Qualifications

• PhD or Master’s with 2+ years in a related field.
• 1+ years experience in building models for business.
• Experience with deep learning modeling techniques.

Responsibilities

• Develop novel data, modeling, and engineering solutions for AI initiatives.
• Utilize Amazon’s data sources and computing resources to advance AGI.

Skills

Deep Learning

Model Training

Programming in Java

Programming in C++

Programming in Python

Education

PhD or Master's degree in CS, CE, ML

Tools

MxNet

TensorFlow

R

scikit-learn

Spark MLLib

numpy

scipy

Job description

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Description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.

Description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.

Key job responsibilities

As an Applied Scientist with the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of audio technology. You will leverage Amazon’s data sources and large-scale computing resources to accelerate advances in AGI.

About The Team

The AGI team is responsibly advancing the company’s generative AI technologies, including Amazon’s most expansive multimodal Large Language Models.

Basic Qualifications

• PhD, or Master's degree and 2+ 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 deep learning techniques
• Experience with LLM model training and fine-tuning
  
  

Preferred Qualifications

• Experience with popular deep learning modeling tools and workflows such as MxNet, TensorFlow, R, scikit-learn, Spark MLLib, numpy, and scipy.
• Experience with deep learning modeling techniques including CNNs, RNNs, GANs, VAEs, and Transformers.
• Experience with conducting research in a corporate setting
• Experience in scientific publications at top-tier peer-reviewed conferences or journals.
• Highly effective verbal and written communication skills with both non-technical and technical audiences.
• Experience with conducting applied research in a corporate setting.
• Experience in building deep learning models for business application.
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.


Company - Amazon.com Services LLC

Job ID: A2804631

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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