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  4. Работа Computer Vision, Machine Learning Engineer в Украине
  5. Computer Vision, Machine Learning Engineer
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Computer Vision, Machine Learning Engineer

Заблокирована
  5 декабря 2019  Львов 
Компания: Sebale  (https://jobs.ua/company-sebale-1599481) (Все вакансии)
Рубрики:IT, WEB специалисты

Пожелания к сотруднику

Образование:полное высшее
Опыт работы:обязателен
График работы:полный рабочий день

Описание вакансии

Опис вакансії

Interested in Augmented Reality? Do you want to be part of a team that is changing the way the world interacts with mobile devices? We are pioneering thenext wave of technology — reimagining the way the world interacts withtechnology today. Our mission is to bring the digital and physical worldstogether.

As a Computer Vision / Machine Learning Engineer you’ll work closely withother engineers on our team to bring industry leading algorithms to a potentialmarket of billions of smartphone users. We are looking for experienced,production-focused engineers who want to develop highly reliable products in a collaborative fast-paced environment.

Responsibilities

  1. Design, train, test, deploy, maintain and optimize ML-based computervision solutions.
  2. Manage individual projects, systems and deliverables.
  3. Minimum qualifications
  4. MS or Ph.D. with a focus on computer vision or machine learning, or equivalent work experience.
  5. 2+ years of experience with computer vision or machine learningframeworks and libraries.
  6. 2+ years of relevant research or professional experience in software development.
  7. Research or professional coding experience in C/C++.
  8. Preferred qualifications
  9. Hands on experience with deep learning engines, e.g. TensorFlow, Caffe,Torch, Theano or similar.
  10. Extensive experience with data visualization e.g. in Python, Matlab, or highgui/viz.
  11. 1+ year of experience with modern CNN/RNN construction (ResNet,Inception, LSTM, etc.).
  12. Demonstrated examples of end to end projects for real world, real timeapplications.
  13. Projects in computational geometry, linear algebra, convex optimization,HMM/POMDP, etc.
  14. Experience that combines both machine learning and computer vision.
  15. Bonus points
  16. Extensive experience with computer vision libraries like OpenCV.
  17. Experience with sensor fusion (IMU+vision) for tracking and mappingapplications.
  18. Experience porting ML or computer vision runtimes to GPU architectures.

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