Computer Vision Research Engineer

Published on Jul 01, 2021

A Product company with offices in Kyiv, Ukraine; Lviv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities

As a member of our Research Team, you will be engaged in an 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.

What You Should Bring

— 2+ years in machine learning (computer vision domain)
— Practical experience in at least one of the following problems: classification, detection, segmentation.
— Python3, numpy, scikit-learn, pandas, scipy.
— Deep learning frameworks:TensorFlow or PyTorch is a must; Keras is plus.
— Experience in deploying machine learning models to production
— Good understanding of machine learning and deep learning concepts.
— Good written and spoken English


— Practical experience with GANs, VAEs
— Probabilistic programming and bayesian framework
— Model optimization: pruning, quantization, knowledge distillation
— 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
— Docker, Kubernetes, Kubeflow
— Bash

What You Will Get Benefits

— 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.

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