Software Development Engineer, AWS SageMaker Studio

World's leading cloud computing and e-commerce company
$129,300 - $223,600
Machine Learning
Senior Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS

Description For Software Development Engineer, AWS SageMaker Studio

Amazon SageMaker Studio is revolutionizing machine learning development as the world's first fully integrated ML-focused IDE. This senior software engineering role offers an exciting opportunity to shape the future of machine learning development tools at AWS.

As a Software Development Engineer on the SageMaker Studio IDE team, you'll be at the forefront of building and supporting state-of-the-art integrated development environments. The position involves creating sophisticated tools that enable data scientists, developers, and students to perform ML development activities including notebooks, experiment management, model creation, debugging, and deployment.

The role combines technical expertise with innovation, requiring you to translate complex business requirements into scalable solutions. You'll work with cutting-edge ML technologies and frameworks like TensorFlow, PyTorch, and Apache MXNet. The position offers significant ownership and impact, as you'll be responsible for core system features and architectures that power Amazon's ML development ecosystem.

Amazon provides an inclusive and supportive environment, emphasizing work-life balance and professional growth. The company offers competitive compensation ($129,300-$223,600 base salary range), comprehensive benefits, and the opportunity to work with talented professionals across the globe. The team culture promotes knowledge sharing, mentorship, and career development, making it an ideal place for ambitious engineers looking to make a significant impact in the ML/AI space.

Working at AWS means joining a team that values diversity, innovation, and customer obsession. You'll be part of a group that celebrates knowledge sharing and supports professional growth through mentorship and challenging projects. The role offers the perfect blend of technical challenge, creative freedom, and the opportunity to shape the future of machine learning development tools.

If you're passionate about building developer tools, interested in machine learning, and want to work with a team that's defining the future of ML development environments, this role offers an exceptional opportunity to make your mark in this rapidly evolving field.

Last updated 7 days ago

Responsibilities For Software Development Engineer, AWS SageMaker Studio

  • Own the Notebook authoring and data scientist IDE experience for AWS ML
  • Build/support state-of-the art IDEs on Studio
  • Translate business and functional requirements into concrete deliverables
  • Design, develop and maintain core system features, services and engines
  • Help define product features and drive system architecture
  • Work with external customers, scientists and other engineers
  • Operate in an Agile/Scrum environment

Requirements For Software Development Engineer, AWS SageMaker Studio

Python
TypeScript
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience
  • Experience programming with at least one software programming language
  • Strong motivation to learn ML and AI
  • Experience with full software development life cycle preferred
  • Bachelor's degree in computer science or equivalent preferred

Benefits For Software Development Engineer, AWS SageMaker Studio

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Medical, financial, and other benefits
  • Flexible working hours
  • Mentorship and career growth opportunities
  • Inclusive work environment
  • Employee-led affinity groups
  • Work-life balance

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