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 working on cutting-edge Large Language Models (LLMs) and their applications. The role involves designing and implementing distributed training pipelines, fine-tuning state-of-the-art LLMs, and optimizing models for AWS's custom AI accelerators.
You'll be responsible for adapting LLMs for various languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Working directly with enterprise customers and foundational model providers, you'll help solve complex business and technical challenges while developing tailored generative AI solutions.
AWS offers a comprehensive compensation package, including competitive base pay ranging from $129,300 to $223,600 depending on location, plus equity and sign-on bonuses. The company values work-life harmony and fosters an inclusive culture through employee-led affinity groups and ongoing learning experiences.
The ideal candidate brings 3+ years of software development experience, strong expertise in machine learning and deep learning methods, and hands-on experience with generative AI technology. You'll be part of AWS's mission to pioneer cloud computing and continue pushing the boundaries of innovation in AI technology.
This role offers unique opportunities to work with cutting-edge AI technologies, collaborate with top AWS clients, and make significant contributions to the future of generative AI while being supported by a culture that values diversity, continuous learning, and professional growth.