Join Amazon's Decision Science and Technology (DST) team, where you'll be at the forefront of creating innovative Machine Learning systems for Industrial IoT applications. As a Senior Software Development Engineer, you'll be responsible for designing and developing distributed ML systems that enhance condition-based maintenance programs and maximize equipment availability worldwide.
The role offers an opportunity to work with cutting-edge technology while collaborating with research and applied scientists to shape the team's strategic direction. You'll drive system architecture, establish best practices, and mentor junior engineers in a fast-paced, collaborative environment.
DST combines expertise from program managers, product managers, engineers, and scientists to create solutions that optimize costs and prevent unplanned downtime. The team is committed to delivering high-performance, cost-effective ML services that set industry standards.
You'll benefit from a supportive engineering culture that prioritizes professional development through personalized mentorship and meaningful project assignments. The position requires strong technical abilities, excellent communication skills, and a proven track record in building large-scale software systems.
This role is perfect for someone who is passionate about applying ML to industrial applications, enjoys solving complex technical challenges, and wants to make a significant impact on Amazon's global operations. You'll be working with diverse sensor technologies and cloud server systems, requiring both depth in ML implementation and breadth in distributed systems architecture.