Senior Machine Learning/Computer Vision Engineer (offline)

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.

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

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

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

Professional growth:
β€’ Challenging tasks and innovative projects
β€’ Meetups and events for professional development
β€’ An individual development plan
β€’ Mentorship program

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

About N-iX


Company website:
https://www.n-ix.com/

The job ad is no longer active
Job unpublished on 10 July 2020

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