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 solving challenging problems. You will be engaged in 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.
— 2+ years in machine learning (computer vision domain)
— Python3, numpy, scikit-learn, pandas, scipy
— Practical experience in at least one of the following problems: object detection, segmentation, face recognition, person re-id, action recognition, generative models.
— Deep learning frameworks: fluent Tensorflow and PyTorch is a must; MxNet, Caffe, Keras is plus.
— Knowledge of different deep learning architectures: VGG, ResNet, Inception, MobileNet
— Experience in deploying machine learning models to production
— Good understanding of machine learning and deep learning concepts
— Good written and spoken English
— Basic understanding of web and client-server architecture, asyncio, aiohttp, and other async libraries for back-end
— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
— Algorithms, data structures
— Model optimization: pruning, quantization, knowledge distillation
— Probabilistic programming and bayesian framework
— Practical experience with GANs, VAEs
— SQL, NoSQL
— Docker, Kubernetes, bash
— 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.