Taro Logo

Machine Learning Engineer, Generative AI Innovation Center

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:
Research Engineer II, Q Business

Research Engineer II position at Amazon AWS focusing on generative AI development, requiring expertise in machine learning, cloud infrastructure, and software engineering with competitive compensation and benefits.

Software Development Engineer, ML_AI

AWS SageMaker team seeks experienced Software Development Engineer to build and scale Generative AI inference systems, offering competitive compensation and comprehensive benefits.

Software Development Engineer - Machine Learning, Sponsored Products

Machine Learning Software Development Engineer role at Amazon Advertising, building and optimizing large-scale ML systems for product discovery and ad relevance.

Software Development Engineer, Music AI & Personalization

Software Development Engineer role at Amazon Music focusing on AI & personalization, building next-gen music discovery features and working with distributed systems.

Machine Learning - Compiler Engineer II, Annapurna Labs

Machine Learning Compiler Engineer role at Amazon's Annapurna Labs, developing optimized compiler solutions for AWS ML accelerators, with competitive compensation and benefits.

Description For Machine Learning Engineer, Generative AI Innovation Center

The Generative AI Innovation Center at AWS is at the forefront of empowering customers to leverage AI technologies for transformative business opportunities. As a Machine Learning Engineer, you'll join a multidisciplinary team of strategists, scientists, engineers, and architects working directly with customers across industries to fine-tune and deploy customized generative AI applications at scale.

Your role will focus on driving the development of custom Large Language Models (LLMs) across various domains and modalities. You'll be responsible for implementing distributed training pipelines, fine-tuning state-of-the-art LLMs, and optimizing models for high-performance deployment on AWS's custom AI accelerators. This position offers a unique opportunity to work with cutting-edge AI technology while directly impacting AWS's top clients.

The role combines technical expertise in machine learning with practical business application, requiring both strong programming skills and the ability to collaborate with enterprise customers. You'll work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing both performance and efficiency. The position offers significant growth potential within AWS's innovative culture, with access to mentorship, knowledge-sharing, and career advancement resources.

AWS values diverse experiences and maintains an inclusive team culture, supported by employee-led affinity groups and ongoing learning experiences. The company emphasizes work-life harmony and provides comprehensive benefits including medical coverage and career development opportunities. This role is ideal for someone passionate about AI innovation who wants to work at the intersection of cutting-edge technology and practical business solutions.

Last updated 4 days ago

Responsibilities For Machine Learning Engineer, Generative AI Innovation Center

  • 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
  • Develop custom kernels for enhanced performance

Requirements For Machine Learning Engineer, Generative AI Innovation Center

Python
  • 2+ years of professional software development experience
  • Proficiency in at least one programming language
  • Hands-on experience with deep learning and machine learning methods
  • 2+ years of non-internship design or architecture experience
  • Hands-on experience with generative AI technology

Benefits For Machine Learning Engineer, Generative AI Innovation Center

Medical Insurance
401k
  • Comprehensive medical benefits
  • Work-life harmony
  • Career advancement resources
  • Mentorship opportunities
  • Inclusive team culture

Interested in this job?