Deep Learning Engineer

Job Summary

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.

Qualifications and Skills

  • 2+ years in machine learning (computer vision domain)
  • Practical experience in at least one of the following problems: object detection, segmentation, face recognition, person re-id, action recognition, generative models.
  • Python3, numpy, scikit-learn, pandas, scipy
  • Deep learning frameworks: fluent Tensorflow and PyTorch is a must; MxNet, Caffe, 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


Nice to have


  • 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
  • SQL, NoSQL
  • Docker, Kubernetes
  • Bash

We offer multiple benefits that include

  • Working for one of the top product companies in the world:
  • Opportunity to influence the products’ quality supporting company mission to reduce crime in neighborhoods
  • 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.