Research Scientist in Computer Vision

1 week ago

Old Toronto, Ontario, Canada Lightci Full time
About Lightci

We are a cutting-edge technology company revolutionizing foot care with innovative solutions that address common foot health issues.

Job Summary

We are seeking a highly skilled Research Engineer in Computer Science to join our team. As our client's search partner, you will 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 for foot health applications
  • 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
  • Ph.D. or 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
  • Experience with cloud platforms such as AWS or Azure
  • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch), 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
Nice to Have
  • Experience with handling text or speech as input in AI models
  • Knowledge of TensorRT for model optimization and deployment
What We Offer
  • Generous equity package
  • Benefits package
  • Unlimited PTO
  • Growth opportunities

Note: Only candidates who meet the specified criteria and qualifications will be contacted for further consideration.

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