We are looking for a team leader/software development manager (SDM) in our Research Organization. As SDM you will be responsible for one or several computer vision features starting from translating high-level product vision to a feasible solution with clear research stages, milestones, and timelines. Your main responsibilities will be technical leadership for the team as well as people management and cross-department communication with Engineering, Data, Product, and TPM organizations.
— Leading the team of ~4-8 engineers and researchers to advance the algorithmic performance using a mix of state of the art or “classical” techniques.
— Owning one or several CV features end-to-end starting from non-technical product vision from product team till deploying it to production.
— Coordinate with data team to select and label relevant data to improve our algorithms and develop metrics by which the feature is evaluated
— 1+ years experience of a leading research group or a team on a data science project.
— 3+ years experience in research or data analysis.
— Degree in Math, Computer Science, Robotics or a related field
— Experienced software engineer working on problems with advanced algorithms or researcher with a track record of real-world applications involving solid software engineering
— Managed or tech lead small teams
— Strong understanding of deep learning, machine learning, and data analysis concepts.
— Strong theoretical and practical applied knowledge of deep learning and computer vision algorithms.
— Good knowledge of CS fundamentals, algorithms and data structures
— Good written and spoken English
— Strong experience in Python
— Experience with DSP, NLP, GAN, Object Classification, detection, segmentation, tracking, Metric Learning, Tracking, Kalman filters.
— Experience in C++; if the candidate is not already an expert in C++, a willingness to gain stronger C++ expertise is required.
— AWS, Docker
— Working on the world’s most impactful security products. More than that, an opportunity to get some of those for personal usage
— 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