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Machine Learning Engineer

3 months ago

Columbia, United States Rekor Systems Inc Full time
Job DescriptionJob Description

Intelligence Driven Innovation.

Rekor Systems, Inc., (NASDAQ: REKR) is a trusted global authority in the development and implementation of intelligent infrastructure focused on addressing critical challenges across public safety, transportation management, and urban mobility markets. We believe that the intelligent infrastructure industry is at the epicenter of converging forces that will drive profound changes in the way government agencies, law enforcement and businesses operate and collaborate today and in the future. With our ‘Rekor One’ roadway intelligence engine as our foundation, we collect and transform raw data into actionable insights that gives governments and businesses a comprehensive picture of roadways, vehicles, pedestrians, traffic, incidents, while providing an intuitive environment that makes collaboration across teams and organizations easy. Rekor leverages computer vision, machine learning, and big data analytics to drive AI-enabled IoT solutions (‘AIoT’) on the edge of the network with unparalleled speed, accuracy, and agility. With our disruptive AI-powered technology, integrated hardware and software solutions, and state of the art machine learning models, we deliver actionable insights and transformative impact that increase roadway safety, efficiency, and sustainability for our customers and citizens, while enabling safer, smarter, greener, and more equitable cities and communities.

Our employees represent the best and smartest top talent in our industry, and we select individuals to be a part of our team who help to define our culture and success. Rekor’s Values and Leadership Principals are: People First, Customer Success, Earn Trust, Deliver Impact and Think Big and Bold Learn more by visiting www.rekor.ai.

Position Summary

The Sr Machine Learning Engineer is 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

Qualifications and Education Requirements

  • 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 of machine learning frameworks such as PyTorch, Caffe, TensorFlow

Preferred Knowledge, Skills and Abilities

  • Experience with Nvidia CUDA coding
  • Publications in CVPR, ICCV, or BMVC

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. Specific vision abilities required by this job include close vision and ability to adjust focus. This would require the ability to lift files, open filing cabinets and bend or stand on a stool as necessary.


It is the policy of Rekor Systems not to discriminate or allow the harassment of employees or applicants on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by law in all employment practices. Rekor Systems' Executive Leadership Team is fully committed to the principles of equal employment opportunity and affirmative action and support the successful implementation of the Company's Affirmative Action Programs.