AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. Within the AWS NGDE team, we're seeking talented System Development Engineers to work on machine learning and AI solutions. Our mission is to make machine learning accessible, robust, and universal in Natural Language and Speech processing. We've developed successful ML services including Comprehend, Kendra, Lex and Transcribe.
As a System Development Engineer, you'll be instrumental in developing optimized solutions for ML models and improving developer experience. You'll work with cutting-edge deep learning techniques and highly scalable distributed systems. The role involves diving deep into data requirements for ML models, delivering scalable solutions, and setting high coding standards.
AWS values diverse experiences and fosters an inclusive culture through employee-led affinity groups and ongoing learning opportunities. We offer strong mentorship programs and prioritize work-life harmony. The team is part of Amazon's larger cloud computing division, which serves customers from startups to Global 500 companies.
The position offers opportunities to work with advanced ML/AI technologies, collaborate with product and science teams, and contribute to AWS's next phase of innovation. You'll be part of a team that values continuous learning, problem-solving, and operational excellence. The role combines technical expertise with leadership opportunities, including mentoring new engineers and setting technical standards.
Working at AWS means joining a culture of innovation where your unique perspectives are valued and you can make a significant impact on cloud computing's future. We provide comprehensive support for professional growth while maintaining flexibility for work-life balance.