Research Scientist in Computer Vision

1 month ago

Toronto, Ontario, Canada Lightci Full time
About the Role

We are seeking a highly skilled Research Engineer in Computer Science to join our team at Lightci. As our client's search partner, we facilitate the initial stages of the selection process on their behalf.

Key Responsibilities
  • Develop and implement state-of-the-art computer vision models and algorithms.
  • Lead and contribute to the development of novel deep learning models and techniques, with a focus on LLMs and Computer Vision.
  • Utilize deep learning frameworks such as TensorFlow or PyTorch for model development and training.
  • Leverage cloud platforms like AWS or Azure for model deployment and scalability.
  • Deliver high-performance deep learning models for shape completion, vision-language tasks, and pose alignment, with thorough documentation and implementation plans.
  • Develop and validate new deep learning algorithms and architectures tailored to the specific needs of foot and MSK health, demonstrating measurable improvements in performance.
  • Contribute to the development of tools and processes for efficient model training and evaluation.
Requirements
  • Master's degree in Computer Science, Machine Learning, or a related field with a focus on deep learning or AI.
  • Deep expertise in Computer Vision and Deep Learning.
  • Proficiency in programming languages, and tools for data manipulation and visualization.
  • Familiarity with Large Language Models (LLMs), with a focus on processing text or speech as input, though specific experience in training LLMs is not required.
  • Extensive experience with advanced computer vision techniques, including 3D reconstruction, shape completion, and object detection and segmentation.
  • Proficiency in applying vision-language models, Gaussian splatting, network optimization, and SIM2Real techniques to real-world problems.
  • Knowledge of TensorRT for model optimization and deployment.

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