Machine Learning Engineer, Gen AI Innovation Center, AWS

The Generative AI Innovation Center at AWS is at the forefront of empowering customers with cutting-edge AI technologies for transformative business opportunities. As a Machine Learning Engineer, you'll join 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.

Your role will focus on driving the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You'll be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS's custom AI accelerators. This position offers a unique opportunity to innovate at the cutting edge of AI technology, working with massive-scale LLM training pipelines and delivering next-generation AI solutions for top AWS clients.

The role combines technical expertise in machine learning with customer-facing responsibilities, requiring both strong engineering skills and the ability to understand and address business challenges. You'll work in a dynamic, startup-like environment where you'll have the opportunity to make significant impact through building high-impact Gen AI solutions for AWS's large customer base.

AWS offers a comprehensive benefits package, including medical coverage, work-life balance initiatives, and extensive career development opportunities. The company's inclusive culture, supported by employee-led affinity groups and ongoing learning experiences, creates an environment where diversity is celebrated and personal growth is encouraged.

This position offers competitive compensation ranging from $129,300 to $223,600 per year depending on location, plus additional benefits including equity and sign-on payments. Join AWS to be part of a team that's shaping the future of AI technology while working with cutting-edge tools and technologies in a supportive, growth-oriented environment.