Applied Scientist, Ring AI - Amsterdam, Nederland - Ring of Security B.V. - H42

Beschrijving

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through cutting-edge innovation.

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.

• Research and implement the stateoftheart computer vision and machine learning methods to deliver highquality artifacts that meets product specifications.
• Establish scalable, efficient, automated processes for largescale data analysis, machinelearning 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 crossfunctional teams.

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience programming in Java, C++, Python or related language
• Experience in building models for business application
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Experience in patents or publications at toptier peerreviewed conferences or journals
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, highperformance computing

• Experience using Unix/Linux
• Experience in professional software development
• Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
• Experience with machine learning techniques for fast and accurate extraction of visual features of humans (i.e. shape, pose, segmentation) from photographs