Machine Learning Engineer, Model Customization, Generative AI Innovation Center (Seattle) Job at Amazon Web Services (AWS), Seattle, WA

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  • Amazon Web Services (AWS)
  • Seattle, WA

Job Description

Job Title

Machine Learning Engineer, Model Customization, Generative AI Innovation Center

Company

Amazon Web Services (AWS)

Location

Seattle, WA

Compensation

Base pay ranges from $129,300 to $223,600 per year in the U.S. Geographic markets.

Job ID

A3081156

Job Details

Seniority level: Not Applicable

Employment type: Full-time

Job function: Research, Science, and Engineering

Industry: IT Services and IT Consulting

Responsibilities

  • Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency.
  • Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and RLHF.
  • Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance.
  • Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions.

Basic Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience of new and existing systems.
  • Bachelor's degree in computer science or equivalent.
  • Handson experience with deep learning and/or machine learning methods (e.g., training, finetuning, inference).
  • Handson experience with generative AI technology.

Preferred Qualifications

  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
  • 1+ year of programming with at least one software programming language.
  • 1+ year of experience developing, deploying, or optimizing machine learning models using a recognized ML library or framework.

Company Information

Amazon is an equalopportunity 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, please visit our accommodations page. If the country/region youre applying in isnt listed, please contact your Recruiting Partner.

Benefits & Perks

Amazon provides a total compensation package that includes a base salary, equity, signon payments, and a full range of medical, financial, and other benefits. For more information, please visit Amazons employee benefits page.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Job Tags

Full time,

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