Ring Labs (ringlabskiev.com) — Ring’s R&D-center in Kyiv, a hardcore research team, focused on applying AI, machine learning, computer vision and intellectual data analysis technology to Ring products. Ring Labs training data consists of millions of video and the results of work are deployed to millions of devices worldwide.
28 июля 2017

Computer Vision Specialist

Киев

About Ring Labs

We are a hardcore research team hungry to build the next generation of computer vision and machine learning technology. Ring’s R&D-center in Kiev that is focused on applying AI, machine learning, computer vision and intellectual data analysis technology for smart home security products.

Job Summary

We are looking for a talented and passionate computer vision engineer who can research, develop, and maintain CV/ML technologies to analyze and summarize video feeds.

Responsibilities

— Drive research of computer vision/machine learning algorithms for extracting useful information from video content
— Implement and optimize algorithms for near real-time video processing
— Collaborate with the broader engineering team to integrate new algorithms /plug-ins into the rest of the stack

Qualifications and Skills

— MS/PhD in computer vision/machine learning, or 3+ years industry experience
— Strong understanding of image processing and computer vision algorithms
— Experience with computer vision libraries such as OpenCV, NumPy, SciPy, etc.
— Extensive experience with C/C++ and/or Python
— Proficient in a Linux or OS X environment

We offer multiple benefits, that include

— Working for one of the top product companies in the world: Ring.com
— Opportunity to influence the products quality
— Challenging tasks
— Salary above the market offer
— PE accounting and support
— Paid vacation of 18 business days annually, paid holidays according to Ukrainian legislation
— Fully equipped A-class office space in the “Toronto” business center (near “Olimpiyska” subway station)
— Social package, including gym membership compensation, medical insurance
— Free meals, fruits and sweets
— Educational possibilities, knowledge hub and free English classes
— Career plan, professional growth and quarterly performance reviews