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Senior ML/Computer Vision Engineer

Location:
Kyiv, Lviv
Technical Level:
Senior
Job Category:
Data Science

As a member of an R&D Team, you will be engaged in the iterated process of prototyping and/or implementation of CV algorithms, their performance measurement, data preparation, and deploying your solution.

Qualifications and Skills:

  • At least 5 years of software engineering and research experience
  • 3+ years in machine learning and/or computer vision domain
  • Knowledge of different deep learning architectures and learning frameworks
  • Knowledge of classic computer vision algorithms including OpenCV
  • In-depth knowledge of Convolutional Neural Networks, including major network architectures, knowledge of activation functions, and their effects on network trainability and speed, experience in network training and tuning meta parameters
  • In-depth knowledge of object detection or/and segmentation
  • Knowledge of performance metrics in object detection and classification, such as mAP and related
  • Experience in preparing and augmenting datasets for training
  • In-depth understanding of loss functions and the ability to create custom loss functions as well as custom network layers
  • Understanding of network sparsity, network pruning, and its effect on network speed and performance
  • Understanding of low bit depth networks, weight quantization, and its effect on speed and trainability
  • Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions
  • Good written and spoken English

Would be a plus:

  • Experience with CV for the automotive industry
  • Experience with human pose estimation and behavior recognition
  • Experience with digital image processing
  • Experience with C++ and deep understanding of C++ concepts
  • Experience with FPGA or/and embedded development
  • Cross-platform development, code optimization skills
  • Knowledge of classical algorithms and data structures
  • Expertise in Linux environment
  • Docker

We offer:

  • Flexible working hours
  • A competitive salary and good compensation package
  • Possibility of partial remote work
  • Best hardware
  • A masseur and a corporate doctor
  • Healthcare & sport benefits
  • An inspiring and comfy office

Professional growth:

  • Challenging tasks and innovative projects
  • Meetups and events for professional development
  • An individual development plan
  • Mentorship program

Fun:

  • Corporate events and outstanding parties
  • Exciting team buildings
  • Memorable anniversary presents
  • A fun zone where you can play video games, foosball, ping pong, and more