Machine Learning Engineer, AWS Generative AI Innovation Center

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cloud

Description For Machine Learning Engineer, AWS Generative AI Innovation Center

The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

The role involves collaborating with ML scientists and engineers to research, design, and develop generative AI algorithms for real-world challenges. You'll work across customer engagements to understand adoption patterns and share insights with teams and leadership. Direct customer interaction is key, helping implement generative AI solutions and delivering technical briefings.

AWS values diverse experiences and fosters an inclusive team culture through employee-led affinity groups and events like Conversations on Race and Ethnicity (CORE) and AmazeCon. The company offers strong mentorship opportunities and emphasizes work-life harmony, providing flexibility in the working culture.

The Generative AI Innovation Center program pairs you with AWS science and strategy experts to:

  • Imagine new applications of generative AI
  • Identify valuable use cases
  • Integrate Generative AI into existing applications and workflows

You'll create reusable technical assets, best practice recommendations, tutorials, blog posts, and sample code. The role also involves providing customer and market feedback to Product and Engineering teams to help shape product direction.

AWS offers comprehensive benefits, career growth opportunities, and a supportive environment where innovation thrives. Join a team that's at the forefront of generative AI technology and help shape the future of cloud computing.

Last updated a day ago

Responsibilities For Machine Learning Engineer, AWS Generative AI Innovation Center

  • Collaborate with ML scientists and engineers to research, design and develop generative AI algorithms
  • Work across customer engagements to understand and share adoption patterns
  • Interact directly with customers to understand business problems and implement solutions
  • Create reusable technical assets for generative AI adoption
  • Deliver best practice recommendations, tutorials, blog posts, and presentations
  • Provide customer and market feedback to Product and Engineering teams

Requirements For Machine Learning Engineer, AWS Generative AI Innovation Center

Python
Java
  • Bachelor's degree in computer science or equivalent
  • Experience in professional, non-internship software development
  • Experience coding in Python, R, Matlab, Java or other modern programming language
  • Several years of experience in developing and deploying large scale ML/DL models
  • Experience with batch and real-time data processing
  • Experience with model containerization, CI/CD pipelines, API development
  • Experience in architecture and design of new and current systems

Benefits For Machine Learning Engineer, AWS Generative AI Innovation Center

  • Work-life balance
  • Career development opportunities
  • Mentorship programs
  • Inclusive work environment
  • Professional development resources

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