ML Systems Software Engineer — High-Performance Cloud

Amazon

New York (NY)

Sur place

USD 158 100 - 213 800

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Amazon Annapurna Labs is seeking a Software Development Engineer for ML Systems in Annapurna Labs, NY. You will tackle challenging technical problems across the stack, designing and delivering software to boost performance, durability, and security for AWS customers.

The role requires 3+ years in software development and 2+ years in design/architecture, plus hands-on Generative AI experience. You will work with a cross-functional team on a startup-like environment within AWS UC and AWS Neuron,

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • Experience programming with at least one software programming language.
  • Bachelor’s degree in computer science or equivalent.
  • Hands-on technical experience in Generative AI space with ML workflows.

Responsabilités

  • Solve challenging technical problems at every layer of the stack.
  • Design, implement, test, deploy and maintain software to improve performance, durability, cost and security.
  • Build high-quality, highly available, always-on products.
  • Research implementations that deliver the best experiences for customers.

Connaissances

Software development
System design
Programming

Formation

Bachelor's degree in computer science

Description du poste

Amazon Annapurna Labs is seeking a Software Development Engineer for ML Systems in Annapurna Labs, NY. You will tackle challenging technical problems across the stack, designing and delivering software to boost performance, durability, and security for AWS customers.

The role requires 3+ years in software development and 2+ years in design/architecture, plus hands-on Generative AI experience. You will work with a cross-functional team on a startup-like environment within AWS UC and AWS Neuron,

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