As a Senior Language Engineer in AWS Q for Business Data Team, you will be at the forefront of launching a high-profile product offering. This role combines technical expertise in machine learning, data analytics, and natural language processing with strategic leadership in data collection and annotation. You'll work closely with cross-functional teams, including scientists, engineers, and product managers, to optimize datasets for model performance and drive innovation in data-centric AI.
The position offers an opportunity to shape the future of AWS's language engineering capabilities, requiring both hands-on technical skills and strategic thinking. You'll lead initiatives to improve data collection processes, implement cutting-edge annotation techniques, and contribute to the development of more effective workflows. The role demands expertise in computational linguistics and machine learning, with a focus on practical application in industry settings.
Working at Amazon means joining one of the world's most innovative companies, with competitive compensation based on geographic location and experience. You'll be part of the AWS Q for Business team, contributing to advanced AI solutions while collaborating with some of the brightest minds in the field. This role is perfect for someone who combines deep technical knowledge with leadership abilities and wants to make a significant impact in the field of language engineering and AI.