Applied Scientist II, Ring AI
4 weeks ago
You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await
Key job responsibilities
- Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
- Research new machine learning approaches to drive continued scientific innovation.
- Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams.
We are open to hiring candidates to work out of one of the following locations:
Cambridge, GBR
BASIC QUALIFICATIONS
- PhD, or a Master's degree and experience in CS, CE, ML or related field- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience in building machine learning models for business application
PREFERRED QUALIFICATIONS
- Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art- Experience in prototyping, designing, implementing and deploying large-scale computer vision and AI applications
- Experience in developing highly-optimized CV and ML algorithms on resource-constrained platforms
- Exceptional writing and verbal communications skills
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