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.