SDE - Ring AI/ML Cloud, Ring Pioneer Team

Ring, an Amazon company, is seeking a Software Development Engineer II (SDE II) to join their innovative Ring Pioneer Team, focusing on cutting-edge AI/ML cloud initiatives. This role presents an exciting opportunity to work at the intersection of artificial intelligence and home security technology.

The position involves developing and deploying machine learning solutions that enhance Ring's intelligent features across their product ecosystem. As a member of the Ring Pioneer Team, you'll be working on cloud-based machine learning projects, implementing novel applications, and helping scale AI solutions that directly impact Ring's smart home security products.

The role requires strong software engineering fundamentals combined with expertise in AI/ML technologies. You'll be responsible for designing and implementing AI services in AWS, creating model training pipelines, and building inference services. The position offers the opportunity to work with cutting-edge AI technologies and contribute to proof-of-concepts that could shape the future of home security.

Working at Ring means joining a mission-driven company focused on making neighborhoods safer. Since its founding in 2013, Ring has become a leader in smart home security, known for products like their video doorbell and Ring Alarm system, which was rated #1 in Customer Satisfaction for DIY Home Security Systems by J.D. Power.

The compensation package is competitive, ranging from $129,300 to $223,600 based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. The position offers the chance to work with cross-functional teams including Data Scientists, Product Managers, and other ML Engineers in either Southern California (Los Angeles/Orange County) or Silicon Valley.

This role is perfect for someone who is passionate about AI/ML technologies, detail-oriented, and eager to contribute to innovative solutions that have real-world impact on neighborhood safety. You'll be part of a team that values continuous learning, responsible AI practices, and technical excellence.