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 Research Engineer, you’ll be involved in all stages of R&D including problem definition, ML systems design, model training, and hardware prototyping. You will take part in the algorithm’s path from idea inception to hardware prototyping, implementation, and production. You will use a combination of engineering discipline and the scientific method to develop and improve sensors in upcoming Ring products.
— 3+ years experience in research or data analysis
— Degree in Computer Science/Software Engineering/Applied Mathematics/Physics
— Strong knowledge of CS fundamentals, algorithms and data structures
— Experience with Python and knowledge of scientific computation libraries such as numpy, scikit-learn, pandas and scipy
— Good understanding of machine learning and data analysis concepts
— Good written and spoken English
— Experience in one or many Artificial Intelligence tasks: classification, detection, recognition, segmentation, decision making, etc
— Experience with C/C++ and knowledge of commonly used libraries such as STL and boost
— Experience with Matlab/R/any other data analysis tools
— Good understanding of physics and math
— Experience with Digital Signal Processing
— Be familiar with CLI, Linux, Bash
— Hands-on experience with hardware and prototyping (sensors, RPi, Arduino, etc.)
— AWS, Docker, Kubernetes
— Working for one of the top product companies in the world: Ring.com
— Opportunity to influence the products quality
— Challenging tasks
— Relocation bonus
— Competitive salary
— PE accounting and support
— 18 paid vacation days per year
— Fully equipped A-class office space in the 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 semiannual performance reviews.