View Our Website View All Jobs

[Ring Labs] Deep Learning Specialist

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

As a member of our Research Team, you will research problems that we don’t have solutions for today through an iterated process of prototyping, implementation, and measurement. You will work closely with members of our Research and Engineering teams to improve models and bring products to market based on your research. You will report to our Research Lead and CTO. 
Your background should include three or more years of hands-on experience crafting and experimenting with neural networks, with additional years applying other machine learning techniques to a particular domain such as computer vision, image quality, digital signal processing, etc.

Qualifications and Skills

— 3+ years in machine learning and computer vision domain
— Programming languages: Python preferred, C/C++/Java is a plus
— Knowledge of Python machine learning libraries is a must: numpy, scikit-learn, pandas, scipy
— Deep learning frameworks: Tensorflow is a must, Caffe, mxnet, Torch is a plus
— Experience in reading and understanding of scientific articles on topic of Machine Learning, Deep Learning and Computer Vision
— Knowledge of different deep learning architectures: VGG, ResNet, Inception
— Understanding of differences between R-CNN, Fast R-CNN Faster R-CNN, YOLO, SSD
— Experience in computer vision is a must: classification, detection, recognition
— Knowledge and experience with algorithms is a huge plus
— Virtualization: Docker is a plus
— Experience with Unix operating systems
— Experience with SQL, NoSQL databases is a plus
— Basic knowledge of web and client-server architecture
— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
— English communication skills (speak, read, write)

We offer multiple benefits, that include

— working for one of the top companies in the world:
— 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

Read More

Apply for this position

Apply with Indeed
Attach resume as .pdf, .doc, or .docx (limit 2MB) or Paste resume

Paste your resume here or Attach resume file