ML Engineer, GenAIID

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
3+ years of experience
AI · Enterprise SaaS

Description For 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 of strategists, scientists, engineers, and architects to develop custom Large Language Models (LLMs) across various domains and modalities.

Your responsibilities will include designing distributed training pipelines, fine-tuning state-of-the-art LLMs, and optimizing models for AWS's custom AI accelerators. You'll collaborate directly with enterprise customers and foundational model providers to understand their challenges and develop tailored generative AI solutions.

AWS offers a supportive and inclusive work environment with strong emphasis on work-life harmony. The company provides extensive opportunities for professional growth through mentorship, knowledge-sharing, and career advancement resources. You'll be part of a culture that values diverse experiences and perspectives, with employee-led affinity groups and ongoing learning experiences.

This position requires 3+ years of professional software development experience and strong expertise in machine learning and generative AI. You'll be working at the forefront of AI technology, contributing to next-generation solutions for top AWS clients while leveraging AWS's robust cloud infrastructure and custom silicon platforms.

Last updated a day ago

Responsibilities For 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 ML Engineer, GenAIID

Python
  • 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
  • Hands-on experience with deep learning and/or machine learning methods
  • Hands-on experience with generative AI technology
  • Bachelor's degree in Computer Science or equivalent (preferred)
  • Hands-on experience with at least one ML library or framework (preferred)
  • 2+ years of professional experience in developing, deploying or optimizing ML models (preferred)
  • 2+ years of professional experience in full software development life cycle (preferred)

Benefits For ML Engineer, GenAIID

  • 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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