Rekor Systems Inc

ML Engineer

Tel Aviv, Israel
PyTorch C++ TensorFlow Machine Learning Deep Learning OpenCV Python
Description

Rekor Systems, Inc., (Rekor.ai) (NASDAQ: REKR) is a trusted global authority on Roadside Intelligence providing innovative solutions with the mission to drive the world to be safer, smarter, and more efficient. Rekor products combine IoT technology, connected vehicle telemetry data, computer vision data and machine learning to enable the future of Public Safety, Urban Mobility and Traffic Management. With our disruptive technology and integrated solutions, we deliver a transformative, global impact for customers and citizens every day.

Machine Learning Engineer

We are seeking a talented and experienced Machine Learning Engineer that will be responsible for designing and applying new machine learning techniques for Rekor’s computer vision applications.

Role and Responsibilities

  • Design, Integrate and evaluate new deep learning techniques/Models to improve accuracy of the core software product
  • Develop techniques to clean/refine our dataset used for training
  • Help guide the workflow for collecting and annotating data by our team of data entry specialists
  • Design and implement algorithmic/Agent logic associated with Computer Vision Models.
  • Test performance/accuracy of model changes
  • Experience with OpenCV and NVIDIA deep stream framework
  • Customize models via Neural Architecture Search to best fit for the application
  • Implement training code in Python and PyTorch Framework 
  • Experience with Nvidia CUDA coding - a MUST
  • Master’s or higher-level degree in Machine Learning preferred
  • Strong understanding of neural network architectures such as CNN, RNN/LSTM, SGD, SSD
  • 3+ years experience with Python and C++
  • Knowledge in machine learning frameworks such as PyTorch, Caffe, TensorFlow


Advantage

  • Publications in CVPR, ICCV, or BMVC


Job Location:

Tel-Aviv, Israel

#LI-Hybrid#LI-Onsite

Rekor Systems Inc
Rekor Systems Inc
Artificial Intelligence (AI) Public Safety

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