About the Role

The Applied Scientist role at Ring AI focuses on developing and implementing computer vision and machine learning technologies to enhance Ring devices. Responsibilities include designing data-driven models, researching state-of-the-art algorithms, and collaborating with teams to integrate AI features. This position requires expertise in multi-modal LLMs or Vision Language Models and aims to improve neighborhood safety through scalable innovations.

Key Responsibilities

• Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications
• Research and implement the state-of-the-art computer vision and Vision Language models algorithms
• Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices
• Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors

Required Skills & Qualifications

Must Have:

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 1+ years of building machine learning models or developing algorithms for business application experience
• Experience programming in Java, C++, Python or related language
• Have publications at top-tier peer-reviewed conferences or journals

Nice to Have:

• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• Experience performing complex business case analysis to justify technical decisions and presenting the justification to management in a high-level review