We are focused on bringing smarter, faster, and cost effective solutions to the world of public safety. With a presence in over seventy countries, we use the power of AI to provide actionable, vital information to our clients. Whether its using machine learning software to give those who protect us better tools to keep us safe, or through solutions tailored to improving the everyday lives of our communities, we have the public safety as our number one priority.

Is your background a fit? Apply if you meet this criteria:

• Design and test new deep learning techniques to improve accuracy of the core software product
• Develop techniques to clean/refine our data set used for training
• Help guide the workflow for collecting and annotating data by our team of data entry specialists
• Test performance/accuracy of model changes
• Customize models via Neural Architecture Search to best fit for the application
• Implement training code in Python and inference code in C++
• Improve performance/speed on CPU and Nvidia (CUDA)

<b> What we are looking for: </b></b>

We are currently looking for a Machine Learning / Deep learning engineer who has experience with computer vision to join our team. You will be responsible for designing and applying new machine learning techniques for a brand new CV systems we will be rolling out later on this year.<br /><br /><b>Qualifications:</b>- Strong understanding of CNN, RNN/LSTM, SGD, SSD

• 3+years experience with Python and C++
• Experience with OpenCV
• Knowledge of Deep Learning frameworks such as PyTorch, Caffe, TensorFlow
• Up-to-date experience with recent research<br /><br /><b>Preferred:</b>- Preferred recent PhD or masters degree in machine learning
• Nvidia CUDA coding experience is a plus
• Publications in CVPR, ICCV, or BMVC