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.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer, Generative AI Innovation Center

The Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. As a Machine Learning Engineer, you'll be part of a multidisciplinary team of strategists, scientists, engineers, and architects collaborating with customers across industries to fine-tune and deploy customized generative AI applications at scale.

The role focuses on driving the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You'll be responsible for designing and implementing distributed training pipelines, fine-tuning state-of-the-art LLMs, and optimizing models for high-performance deployment on AWS's custom AI accelerators.

AWS values diverse experiences and maintains an inclusive culture where employee-led affinity groups foster a supportive environment. The company offers comprehensive benefits, including medical coverage, equity compensation, and sign-on payments. Work-life harmony is prioritized, and there are extensive opportunities for mentorship and career growth.

This position offers an exciting opportunity to innovate at the forefront of AI technology, working with enterprise customers and foundational model providers to develop tailored generative AI solutions. You'll be part of AWS's mission to pioneer cloud computing and continue pushing the boundaries of what's possible in AI and machine learning.

The compensation is competitive and varies by location, ranging from $129,300 to $223,600 per year, plus additional benefits and equity. Join AWS to be part of a team that's shaping the future of AI technology while working in a collaborative, inclusive environment that supports both professional and personal growth.

Last updated a day 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
  • Fine-tune state-of-the-art LLMs for diverse use cases

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
  • Bachelor's degree in computer science or equivalent (preferred)
  • Experience with ML library or framework (preferred)
  • 1+ years of experience in developing, deploying or optimizing ML models (preferred)

Benefits For Machine Learning Engineer, Generative AI Innovation Center

Medical Insurance
Equity
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments
  • Work-life harmony
  • Mentorship and career growth opportunities
  • Inclusive team culture
  • Employee-led affinity groups

Interested in this job?

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

Java AI Developer

Java AI Developer position at Capco focusing on developing and optimizing AI-powered applications for financial services.

Developer Relations

Developer Relations role at Oumi, focusing on building and nurturing an open-source AI developer community through technical content creation, community engagement, and platform advocacy.

Software Development Engineer, StoreGen

AI-focused Software Development Engineer role at Amazon, building next-generation development tools and practices using artificial intelligence.

Software Engineer- AI/ML, AWS Neuron Distributed Training

AWS Neuron seeks ML Engineer to develop distributed training solutions for cloud-scale machine learning accelerators, focusing on large language models and ML infrastructure.

ML - Data Scientist

Data Scientist position at Apple focusing on computer vision and machine learning, offering competitive salary and comprehensive benefits package.