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Deep Learning Engineer for Industrial Ultrasonic Applications
1 month ago
At DarkVision, we are pioneering the application of deep learning in industrial ultrasonic array data inspection systems. Our technology collects vast amounts of data that require efficient and automated processing to detect defects.
About the RoleWe are seeking an experienced Deep Learning Engineer to join our team in North Vancouver, BC. As a key member of our Research & Innovation department, you will be responsible for developing and implementing state-of-the-art deep learning models to solve large-scale industrial problems.
Key Responsibilities:- Rapid model prototyping, training, and deployment of deep learning models for image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data.
- Collaboration with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference.
- Working with the Software Development Team to deploy models in production for end-users.
- Monitoring success matrices of assigned ML projects and making continuous improvements for increasing model robustness and efficiency.
- Close collaboration with Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes.
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; PhD preferred.
- Experience developing and training deep learning models from scratch.
- Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc.
- Experience with medical or industrial ultrasound images for deep learning-related projects.
- Excellent communicator with strong data presentation and report writing skills.
The estimated salary for this role is $140,000 - $180,000 per year, depending on experience.
