Application Scientist

4 hours ago

North Vancouver, Canada Avature Full time
p> DarkVision, part of Koch Engineered Solutions, is looking for a Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent.

As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team.

This is an on-site regular full-time position in our HQ in North Vancouver, BC.

Our Team

With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures.

What You Will Do

  • Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data.
  • Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference.
  • Deploy: Work with the Software Development Team to deploy model in production for its end-users.
  • Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency.
  • Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes.
  • Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training.

Opportunities to Learn

  • Applying deep learning to real world industrial datasets containing billions of images.
  • Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing.
  • Converting ideas into intellectual property assets (e.g. patents).

Who You Are (Basic Qualifications)

  • Experience developing and training deep learning models from scratch.
  • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred.
  • Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc.

What Will Put You Ahead

  • Experience with medical or industrial ultrasound images for deep learning-related projects.
  • Experience in deep learning projects for industrial non-destructive testing.
  • Experience with Reinforcement Learning and/or Few-shot Learning
  • Experience with NLP (Transformers, RNNs)
  • Experience in self-supervised and/or unsupervised learning
  • Experience with Generative Model / Diffusion
  • Experience with Causal Inference
  • Great communicator with excellent data presentation, and report writing skills.

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