At Ring, we're seeking a driven and talented Senior Software Development Engineer to join our AI Team. In this pivotal role, you'll have the opportunity to revolutionize the home security landscape by working on cloud services that power our innovative machine learning operation pipelines, which handles petabytes of heterogeneous data and allows data scientists creating / optimizing numerous models in fast iterations .
Key job responsibilities
We are looking for a senior software engineer who is technically strong with deep knowledge in cloud services, distributed systems and web services. The ideal candidate takes pride in tackling challenges, excels at working in an agile environment and gets excited about delivering world-class platform which allows AI models developed in a fast pace. You'll collaborate with our exceptional Software, Hardware, and Computer Vision Engineers, fostering an environment of innovation and cross-functional synergy. You’ll enjoy working in a team where you’ll have the autonomy to make an impact. We’re committed to nurturing the growth of all our team members, and creating an environment for personal development, as we continually learn from customers. It's still Day 1!
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master or PhD degrees in Computer Science , Machine learning, or other related areas
- Experience in shipping large-scale cloud backend systems to real-world products
- 3+ years' experience in designing and developing machine learning production software.
- Has experience of GenAI and Agent service development using LLM/VLM.
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