Сучасна диджитал-освіта для дітей — безоплатне заняття в GoITeens ×
Rapida is a Digital Inspection Platform using cutting-edge technology for measuring, predicting, and ensuring the structural health of infrastructure and utility assets
9 серпня 2021

Deep Learning / Machine Learning Lead for 3D computer vision project (вакансія неактивна)

віддалено $3000–5000

Rapida’s aim is to eventually supplant the human processes in structural health assessment and monitoring. Rapida’s technological environment comprises proprietary algorithms in computer vision, computational geometry, AI, and civil engineering — all integrated into a single multi-level cloud-based platform providing customers with a comprehensive structural health assessment, monitoring, and predictive maintenance solution.

Responsibilities:

  • Leading research activities to develop new ML / CV algorithms and approaches
  • Leading and supervision of 1-3 junior / middle level engineers
  • Implementing new functionality and algorithms in Python / C++, using various frameworks and libraries, following the specified APIs for code integration with other modules
  • Developing architecture of CV / ML modules of Company products
  • Contributing to Proof-of-Concepts and demo applications
  • Delivering Production Level Solutions

Qualifications:

  • 5+ years in computer vision algorithms
  • 3+ years in neural networks implementation, training and debugging experience
  • Solid mathematical background and skills
  • Familiarity with modern trends and latest achievements in the field
  • Solid programming skills (Python or C++) and knowledge of standard algorithm structures and data structures is a must
  • Ability to quickly read a scientific paper and understand the main ideas and results
  • Practical experience in deep-learning-based approaches for image processing or computervision
  • Good communication, writing and presentation skills in English

Advantages:

  • Persuing PhD, Master Degree in machine learning, computational or applied mathematics, computer science, statistics or related areas, only applications for full-timepositions will be considered
  • Experience in R&D supervision
  • Experience in 3D reconstruction, 3D modelling, object detection, image generation, GANs, computer graphics
  • Experience in multi-GPU model training, using GPU clouds

What we offer:

  • Competitive salary
  • Full Time Remote

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