Senior ML Engineer, GenAIID

Amazon Web Services (AWS) is the 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
5+ years of experience
AI · Enterprise SaaS

Description For Senior ML Engineer, GenAIID

The Generative AI Innovation Center at AWS is seeking a Senior ML Engineer to join their cutting-edge team. This role focuses on empowering customers to leverage state-of-the-art AI technologies for transformative business opportunities. As a Senior ML Engineer, you'll work with a multidisciplinary team to develop custom Large Language Models (LLMs) across various domains and modalities. The position involves designing distributed training pipelines, fine-tuning state-of-the-art LLMs, and optimizing models for AWS's custom AI accelerators.

The role offers an exciting opportunity to innovate at the forefront of AI technology, working with top AWS clients to deliver next-generation AI solutions. You'll be responsible for implementing large-scale training pipelines using advanced tools like Fully Sharded Data Parallel and DeepSpeed, ensuring both scalability and efficiency. The position requires collaboration with enterprise customers and foundational model providers to understand and solve complex business and technical challenges.

AWS values diverse experiences and maintains an inclusive culture where employee-led affinity groups foster an environment that celebrates differences. The company offers extensive opportunities for professional growth through mentorship, knowledge-sharing, and career advancement resources. They emphasize work-life harmony and provide a supportive environment that enables success both professionally and personally.

This role is perfect for someone with strong technical expertise in machine learning, leadership capabilities, and a passion for innovative AI solutions. You'll be part of AWS's mission to pioneer cloud computing and continue pushing the boundaries of what's possible in generative AI.

Last updated a day ago

Responsibilities For Senior ML Engineer, GenAIID

  • Design and implement distributed training pipelines for LLMs
  • Adapt LLMs for new languages, domains, and vision applications
  • Optimize AI models for deployment on AWS Inferentia and Trainium
  • Interact with enterprise customers and foundational model providers
  • Define path to production for generative AI solutions
  • Implement large scale production generative AI solutions

Requirements For Senior ML Engineer, GenAIID

Python
  • 5+ years of professional software development and machine learning experience
  • Proficiency in at least one programming language
  • Experience mentoring engineers, leading technical initiatives, or managing an engineering team
  • Hands-on experience with deep learning and machine learning methods
  • Experience with design, development, optimization and productionization of generative AI solutions
  • Bachelor's degree in Computer Science or equivalent (preferred)
  • 2+ years of professional experience in developing, deploying or optimizing ML models in production (preferred)

Benefits For Senior ML Engineer, GenAIID

Medical Insurance
Dental Insurance
Vision Insurance
  • Mentorship and career growth opportunities
  • Work-life harmony
  • Inclusive team culture
  • Employee-led affinity groups
  • Ongoing learning experiences
  • Career advancement resources

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