Cloud AI/ML Engineer for SageMaker Unified Studio

Amazon

Arlington (VA)

On-site

USD 144,000 - 194,000

Full time

5 days ago
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Job summary

Amazon is seeking a Software Engineer for AWS SageMaker Unified Studio in Arlington, VA. This role focuses on building an AI-assisted unified development environment and scalable, distributed software within AWS analytics and ML services.

You will collaborate with experienced Amazonians to design innovative products, work in an agile setting, and contribute to a platform that enables massive data processing and ML workloads at scale.

Qualifications

  • 1+ years of non-internship software development experience.
  • 1+ years of design or architecture experience (patterns, reliability, scaling).
  • 1+ years of software development engineer or related experience.
  • 1+ years of designing and developing large-scale, multi-tiered or distributed software apps, tools, systems, and services in C#, C++, Java, or Perl.
  • 1+ years of Object Oriented Design experience.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field.

Responsibilities

  • Collaborate with cross-disciplinary Amazonians to conceive, design, and bring innovative products to market.
  • Design and build technologies in a large distributed computing environment and lead fundamental changes in the industry.
  • Create solutions to run predictions on distributed systems at scale and speed.
  • Build distributed storage, index, and query systems that are scalable, fault-tolerant, and low cost.
  • Design and code the right solutions starting from broadly defined problems.
  • Work in an agile environment to deliver high-quality software.

Skills

Software development
Design patterns
OO design
Distributed systems
Multi-language programming

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon is seeking a Software Engineer for AWS SageMaker Unified Studio in Arlington, VA. This role focuses on building an AI-assisted unified development environment and scalable, distributed software within AWS analytics and ML services.

You will collaborate with experienced Amazonians to design innovative products, work in an agile setting, and contribute to a platform that enables massive data processing and ML workloads at scale.

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