Senior Deep Learning Engineer - US

The job overview for this role is that the company is seeking a Senior Deep Learning Engineer who will be responsible for developing and validating deep neural network architectures for real-time image processing tasks. The successful candidate should have a strong academic background in CS/EE, 6-10 years of experience in Machine Learning or Deep Learning, and expertise in training Convolutional Neural Networks (CNNs) using frameworks such as Keras (TensorFlow) or Pytorch. The role is fully remote in North America and offers a competitive total annual compensation package.

• Develop state-of-the-art and novel deep neural network architectures
• Develop training & testing pipelines to assess the performance of architectures on relevant image processing tasks
• Keep up with deep learning literature and research publications in order to implement the latest techniques into our networks and pipelines
• Develop machine-learning algorithms on a breadth of software frameworks (Keras, TensorFlow, Torch) and deploy on a diversity of hardware platforms
• Masters or PhD in CS / EE or equivalent with stellar academic performance
• 6-10 years of direct Machine Learning or Deep Learning experience in a corporate environment (post academia)
• Significant experience training Convolutional Neural Networks (CNNs)
• Experience with Keras (Tensorflow) / Pytorch
• Training Deep Learning Computer Vision (DL CV) applications in a corporate environment

• Masters or PhD in CS / EE or equivalent with stellar academic performance
• 6-10 years of direct Machine Learning or Deep Learning experience in a corporate environment (post academia)
• Significant experience training Convolutional Neural Networks (CNNs)
• Experience with Keras (Tensorflow) / Pytorch
• Training Deep Learning Computer Vision (DL CV) applications in a corporate environment

• Competitive Salary & Attractive Stock
• Health Insurance
• Catered Lunches
• Paid Time Off
• Quarterly Retreats
• Education Grant