Machine Learning Engineer, Generative AI Innovation Center

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Cloud

Description For Machine Learning Engineer, Generative AI Innovation Center

Amazon's Generative AI Innovation Center (GenAIIC), launched in June 2023, is a cutting-edge initiative helping AWS customers accelerate enterprise innovation through Generative AI. As a Machine Learning Engineer in this dynamic environment, you'll be at the forefront of developing and deploying advanced ML models and pipelines to solve diverse customer challenges. Working alongside scientists, you'll handle terabytes of data across various formats to create GenAI-based solutions for real-world problems.

The role combines software development expertise with machine learning specialization, requiring strong technical leadership and hands-on experience. You'll be responsible for designing and implementing innovative ML solutions that transform service performance, durability, cost, and security. The position offers the opportunity to work with high-profile customers like Highspot, Lonely Planet, Ryanair, and Twilio in a startup-like development environment.

AWS values diverse experiences and fosters an inclusive culture through employee-led affinity groups and ongoing learning opportunities. The company emphasizes work-life harmony and provides comprehensive career development resources. As part of AWS, you'll be contributing to the world's most comprehensive cloud platform, working on game-changing projects that impact a global customer base.

This role is perfect for someone who thrives in a fast-paced environment, has a passion for the intersection of software development and generative AI, and wants to make a significant impact on enterprise-scale machine learning solutions. You'll be part of a team that values innovation, technical excellence, and customer obsession while working on the cutting edge of generative AI technology.

Last updated 13 hours ago

Responsibilities For Machine Learning Engineer, Generative AI Innovation Center

  • Solve complex technical problems at every layer of the stack
  • Design, implement, test, deploy and maintain innovative ML solutions
  • Build high-quality, highly available, always-on products
  • Research implementations for best possible customer experiences
  • Build high-impact ML solutions for large customer base
  • Participate in design discussions and code review
  • Work cross-functionally to drive business solutions
  • Develop and deploy advanced ML models and pipelines
  • Work with terabytes of text, images, and other types of data
  • Design and run experiments, research new algorithms

Requirements For Machine Learning Engineer, Generative AI Innovation Center

Python
  • 8+ years of non-internship professional software development experience
  • 5+ years of leading design or architecture of new and existing systems experience
  • Experience building complex software systems delivered to customers
  • Experience as a mentor, tech lead or leading an engineering team
  • 5+ years experience in data querying languages and scripting languages
  • Bachelor's degree in computer science or equivalent (preferred)
  • 5+ years of full software development life cycle experience (preferred)

Benefits For Machine Learning Engineer, Generative AI Innovation Center

  • Work-life harmony
  • Mentorship and career growth opportunities
  • Employee-led affinity groups
  • Inclusive team culture
  • Workplace accommodations for disabilities
  • Ongoing learning experiences
  • Knowledge-sharing resources

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