Machine Learning Engineer, Generative AI Innovation Center

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

Description For Machine Learning Engineer, Generative AI Innovation Center

Amazon's Generative AI Innovation Center (GenAIIC), launched in June 2023, is seeking a Machine Learning Engineer to help AWS customers accelerate enterprise innovation with Generative AI. This role offers an exciting opportunity to work at the forefront of AI technology, developing and deploying advanced ML models and pipelines to solve diverse customer problems.

As a Machine Learning Engineer, you'll be working alongside scientists, handling terabytes of data across various formats to develop GenAI-based solutions for real-world challenges. The position requires expertise in software development and machine learning, with responsibilities spanning from system architecture to deployment of production solutions.

The role combines technical depth with business impact, as you'll be collaborating with major customers like Highspot, Lonely Planet, Ryanair, and Twilio. You'll be part of AWS, the world's leading cloud platform, working in a startup-like environment where innovation is constant and impact is immediate.

Key aspects of the role include designing and implementing ML solutions, optimizing system performance, and working cross-functionally with various teams. AWS values diverse experiences and provides comprehensive support for career growth through mentorship and continuous learning opportunities. The company emphasizes work-life harmony and maintains an inclusive culture that empowers employees to deliver their best work.

This position offers the chance to work on cutting-edge technology while being part of a team that's shaping the future of enterprise AI applications. The role requires 8+ years of professional software development experience and deep expertise in machine learning, making it ideal for experienced engineers looking to make a significant impact in the AI field.

Last updated 4 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 Gen AI based solutions to solve real-world problems

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 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 ML/statistical modeling
  • Experience with full software development life cycle
  • Bachelor's degree in computer science or equivalent preferred

Benefits For Machine Learning Engineer, Generative AI Innovation Center

Medical Insurance
Parental Leave
  • Work-life harmony
  • Career development and mentorship
  • Inclusive work environment
  • Disability accommodations available

Interested in this job?

Jobs Related To Amazon Machine Learning Engineer, Generative AI Innovation Center

Machine Learning Engineer, Generative AI Innovation Center

Senior ML Engineering role at AWS's Generative AI Innovation Center, focusing on developing advanced ML models and GenAI solutions for enterprise customers.

Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs

Senior Machine Learning Compiler Engineer role at AWS Neuron, focusing on optimizing ML model performance through innovative compiler solutions for AWS Inferentia and Trainium platforms.

Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs

Senior Machine Learning Compiler Engineer role at Amazon's Annapurna Labs, developing ML accelerator technology and compiler systems for AWS Neuron platform.

Member of Technical Staff - Software Engineering - ML Infrastructure, AGI Autonomy

Senior software engineering role at Amazon's new AI research lab, focusing on developing ML infrastructure and tools for AI agent development.

Sr. Compiler Engineer III - Machine Learning, Annapurna Labs

Senior Compiler Engineer role at AWS's Annapurna Labs, focusing on ML compiler development for custom AI accelerators with competitive compensation and hybrid work model.