As a Senior Applied Scientist at Amazon's AWS Infrastructure Service, you will be at the forefront of developing cutting-edge Computer Vision solutions for AWS data centers. The role combines deep technical expertise in machine learning with practical implementation, focusing on automating and orchestrating physical work processes across AWS global datacenters. You'll work with the Data Center Automation team, building systems that ensure safe, secure, and efficient operations of AWS's compute infrastructure.
The position requires both theoretical knowledge and hands-on implementation skills, where you'll be developing and optimizing ML models for Computer Vision systems, deploying them at scale on edge devices. You'll have the opportunity to work with advanced technologies and directly impact AWS's infrastructure operations. The role involves close collaboration with various stakeholders, from scientists to operations teams, and includes mentoring responsibilities.
This is an excellent opportunity for someone with strong technical depth, scientific vision, and project management skills who wants to work on real-world applications of Computer Vision in a large-scale environment. The compensation package is competitive, ranging from $150,400 to $260,000 per year, plus equity and comprehensive benefits, reflecting Amazon's commitment to attracting top talent.
The role offers the chance to work on complex customer problems, develop novel solutions, and directly contribute to AWS's infrastructure advancement. You'll be part of a team that values innovation, operational excellence, and continuous improvement, making this an ideal position for someone looking to make a significant impact in the field of applied machine learning and computer vision.