Job Summary

As a member of our Research Team, you will be tasked with solving challenging problems. You will be engaged in an iterated process of preparing, prototyping and deploying solutions with the back-end team based on technical research and analysis. You will work closely with other members of our Research and Engineering teams to improve models and work on new and existing products based on your research.

Responsibilities and Duties

— Gathering requirements and scientific paper analysis
— Proposals and discussion of ideas
— Implementation, integration, and testing of developed solutions
— Development of motion detection & localization algorithms using a set of sensors
— Improving existing algorithms

Qualifications and Skills

— 2+ years of experience in machine learning
— Practical experience with Python, NumPy, OpenCV
— Solid knowledge of Linear Algebra and Probability Theory
— Good understanding of machine learning concepts and algorithms
— Familiarity with deep learning frameworks such as Tensorflow, PyTorch
— Understanding of classic Computer Vision approaches
— Solid knowledge of C++, git, bash
— Good written and spoken English

Nice to have

— Practical experience in one or many computer vision tasks: motion detection and segmentation
— Knowledge of compression algorithms (JPEG, h.264, etc)
— Good knowledge of physics and sensors
— Experience with video encoding/streaming algorithms

We offer multiple benefits that include

— Working on impactful security products and the opportunity to use them personally
— Competitive salary and perks
— PE accounting and support
— WFH and remote working mode possibility. Partial furniture compensation
— Social package, including medical insurance available from the start date and sports compensation after the trial period
— 18 paid vacation days per year, paid public holidays according to the Ukrainian legislation
— Educational possibilities like corporate courses, knowledge hubs, and free English classes. Semiannual performance review
— Free meals, fruits, and snacks when working in the office.