Join Ring AI team to revolutionize home security through innovative technologies that seamlessly integrate edge computing and cloud services. Be part of shaping the future of intelligent device solutions that make communities safer and more connected.
Key job responsibilities
- Develop and deploy edge AI solution with focus on computer vision for Ring devices
- Collaborate with applied science and cloud service teams to create scalable AI architectures
- Design and implement efficient Edge AI architectures
- Conduct performance experiments and system optimization research
A day in the life As a software developer at Ring AI, you will support solution design and development, conduct experiments, and optimize system performance to enhance customer experience. You'll work closely with the Applied Sciences team to improve model performance while collaborating with Cloud Services to design end-to-end system architecture. Through these partnerships, you'll play a key role in advancing our AI solutions.
About the team We are a collaborative group of technologists passionate about developing intelligent, efficient AI models. Our vision is to create seamless, adaptive technologies that anticipate and respond to user needs. We're committed to pushing the boundaries of what's possible in device intelligence while maintaining a human-centered approach to innovation.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Proficient programming skills in C or C++
- Demonstrated experience developing AI solutions for embedded systems
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience in machine learning applications
- Knowledge of cloud architecture
- Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels
- Experience with computer vision and deep learning frameworks
- Degree in Computer Science or related technical field
- Track record of research contributions or open-source AI project involvement
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