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
— Docker
— Bash
— Opportunity to influence the products’ quality supporting company mission to make neighborhoods safer
— Challenging tasks and professional growth
— Competitive salary and perks
— PE accounting and support
— 18 paid vacation days per year, paid public holidays according to the Ukrainian legislation
— Social package, including gym membership compensation, medical insurance
— Free office meals, fruits, and cookies
— Educational possibilities, knowledge hubs, and free corporate English classes
— Career plan, professional growth, and semiannual performance review.