AWS Utility Computing (UC) is at the forefront of cloud innovation, managing crucial services like S3 and EC2. This role is within the Amazon Transcribe team, focusing on making machine learning accessible in Natural Language and Speech processing. As a Software Development Engineer, you'll be part of a strategic team with high visibility to AWS leadership, working on state-of-the-art AI services. The position offers unique opportunities to build and scale AI services from the ground up, while working with cutting-edge machine learning technology.
The role combines distributed systems engineering with machine learning applications, though ML background is preferred but not required. You'll be responsible for developing scalable solutions that serve AWS's worldwide customer base, collaborating with ML scientists to shape strategy and roadmap. The position emphasizes both technical excellence and leadership, as you'll influence architecture decisions and mentor junior team members.
Amazon's culture strongly values diversity and inclusion, offering various employee-led affinity groups and ongoing learning experiences. The company emphasizes work-life harmony and provides extensive career development resources. As part of AWS, you'll be working with the world's most comprehensive cloud platform, trusted by companies from startups to Global 500.
This is an excellent opportunity for experienced engineers who want to work at the intersection of cloud computing and AI, while making a significant impact on products used by customers worldwide. The role offers both technical challenges and growth opportunities in a fast-paced, innovative environment.