We are a hardcore research and product development company hungry to build the next generation of smart home security products.
Our research organization is focused on applying AI, machine learning, computer vision and intellectual data analysis technology for Ring products.
Our product teams cover all aspects of SW development and QA of Ring products and solutions. We are in charge of firmware, hardware, mobile applications and backend development. Our deliverables should meet highest quality standards because Ring products are used by millions of customers around the world.
As a member of our Research Team, you will be engaged in the iterated process of data preparation, prototyping and/or implementation, measurement, and deploying your solution together with the back-end team. You will work closely with members of our Research and Engineering teams to improve models and bring products to the market based on your research.
— 3+ years in machine learning (computer vision domain)
— Strong knowledge of classical algorithms and data structures
— Experience with C++, Python3
— Deep learning frameworks: Tensorflow, PyTorch, Caffe
— Good understanding of machine learning concepts
— Knowledge of different deep learning architectures: VGG, ResNet, Inception, MobileNet
— Basic understanding of Big Data, understanding of the difference between MapReduce and in-memory processing
— Good written and spoken English
— Structured and problem solving oriented mindset
— Experience in one or many computer vision tasks: classification, detection, recognition, segmentation
— Working for one of the top product companies in the world: Ring.com
— Opportunity to influence the products quality
— Challenging tasks
— Competitive salary
— PE accounting and support
— 18 paid vacation days per year
— 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 semi-annual performance reviews