AI Researcher improving speech, conversation, and evaluation models for Arc’s real - time drive - thru voice AI. Turning research into production improvements for local businesses.
About the role
- AI Scientist/Engineer developing deep learning and computer vision models for a medical technology startup’s real-time surgical guidance platform. Deploying low-latency inference pipelines on live surgical video and medical images.
Responsibilities
- Develop, train, and deploy deep learning models operating on live video streams and preoperative medical images
- Develop and refine deep learning models for video streams and medical images
- Use self-supervised learning, domain adaptation, and synthetic data augmentation for sparse medical datasets
- Convert Python prototypes into low-latency inference pipelines
- Apply MLOps practices for experiment tracking and dataset version management
- Define reference protocols with clinical specialists
- Organize and anonymize clinical datasets in accordance with HIPAA/GDPR standards
- Write modular code and documentation complying with IEC 62304 / ISO 13485 standards
- Collaborate with algorithm experts, software engineers, and clinical advisors to transform surgical videos and medical images into real-time perceptual intelligence
Requirements
- Ph.D. in computer science, biomedical engineering, electrical engineering, or a related technical field
- Master’s degree combined with 2–5 years of practical industry experience developing and maintaining computer vision or deep learning systems in production
- Advanced proficiency in Python and PyTorch
- Solid foundation in geometric vision, multi-view geometry, optical flow, and image-processing libraries such as OpenCV
- Proven experience writing clean, maintainable code under version control, including Git, Docker, CI/CD pipelines, and unit tests
- Proven ability to tackle ambiguous visual challenges, demonstrated through peer-reviewed first-author publications or successful commercial software delivery
- Proficiency in French and English
- Knowledge of surgical AI challenges and the state of the art in the field is an asset
- Practical proficiency in modern C++ is an asset
- Knowledge of NVIDIA TensorRT, ONNX, and OpenVINO is an asset
- Experience training LLMs and/or multimodal models is an asset
- Experience with 3D scene reconstruction methods such as SfM, 3DGS, or NeRF is an asset
- Experience with monocular visual SLAM methods is an asset
- Experience with soft-tissue deformation models such as FEM, PBD, and XPBD is an asset
- Basic knowledge of IEC 62304 and ISO 14971 standards is an asset
- Must be authorized to work in Canada
- Must work three days per week in the office
Benefits
- Hybrid work arrangement
- Opportunity to work at an innovative medical technology startup
- Opportunity to develop AI and computer vision solutions for minimally invasive surgery
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