Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

AWS Professional Services is seeking Machine Learning Engineers to help U.S. Federal agencies implement innovative cloud computing solutions using state-of-the-art language models. This role focuses on applying cutting-edge Generative AI algorithms to solve real-world problems with significant impact. As a Machine Learning Engineer, you'll work directly with customers to understand their data challenges and design tailored solutions. The position requires expertise in NLP/NLU, generative AI, and building data-intensive applications at scale.

The role combines technical excellence with customer interaction, requiring both deep ML expertise and strong communication skills. You'll be part of AWS's mission to pioneer cloud computing innovation while working with federal agencies. The position offers exposure to diverse projects and the opportunity to work with cutting-edge AI technologies.

Key aspects include developing and deploying advanced ML models, collaborating with scientists on novel solutions, and optimizing for risk, profitability, and customer experience. The role requires hybrid work arrangement with at least 1+ days per week in office or at customer sites. A unique aspect is the requirement for a TS/SCI security clearance with polygraph, indicating work on sensitive federal projects.

AWS offers comprehensive benefits, including competitive salary ranging from $118,200 to $204,300 based on location and experience. The company promotes an inclusive culture through employee-led affinity groups and values work-life harmony through flexible work arrangements. Career growth is supported through mentorship and knowledge-sharing opportunities.

This position represents an opportunity to work at the intersection of advanced AI technology and federal service, making meaningful impact while being part of AWS's industry-leading cloud platform. The role suits candidates passionate about ML/AI who want to apply their skills to significant federal projects while enjoying the benefits of a supportive, innovative work environment.