Computer Vision/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at Norbert Health. Montreal · full-time · no salary stated · we estimate CA$128,063–CA$187,710 across Canada.
Norbert Health has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and deploy vision models for real-time edge use, including detection, tracking, facial landmarks and pose estimation
- Make models fit embedded hardware through quantization, pruning and inference tooling
- Create video pipelines that combine classical signal processing with ML-based vital-sign extraction
- Run training, validation and monitoring workflows, while improving the computer vision stack from research through production
- Set engineering practices and reduce technical debt as the system grows
What you bring
- A master's or doctoral degree in machine learning or computer vision
- At least five years putting computer vision models into production, ideally on constrained devices
- Strong C++ is essential, alongside solid Python skills for ML work and tooling
- Knowledge of data structures, computer vision algorithms and systems programming, plus PyTorch and edge-model optimization
Who this fits
This mid-level role suits an independent engineer who can take complex work through to completion and contribute to technical direction. You’ll have substantial ownership of the vision architecture, while working across research and production. The role is based in Montreal, Canada.
From the employer
The company
Norbert is building autonomous robots that deliver healthcare.
Our AI sensing platform mounts on mobile robots and does the work of a care team member—rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.
We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.
We're a small, international team backed by top-tier VCs, with offices in Brooklyn and Paris. We ship things that matter.
The position
We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology.
What you will do:
- Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
- Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
- Build and maintain MLOps pipelines for model training, validation, and performance monitoring
- Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
- Establish engineering best practices and help reduce technical debt as we scale
- Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
- Master's or PhD degree in Machine learning / Computer vision
- Strong fundamentals: data structures, CV algorithms, and systems programming
- Strong C++ skills - this is critical for our edge deployment pipeline
- Solid Python proficiency for ML experimentation and tooling
- Ability to work independently, solve complex problems, and drive projects to completion
- 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
- Experience with PyTorch and model optimization for edge AI
- Proven ability to take models from research to production on embedded hardware
Nice to haves:
- Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
- MLOps experience (experiment tracking, model versioning, performance monitoring)
- Experience with sensor fusion (RGB, IR, depth cameras)
- Background in medical devices, regulated environments, or healthcare applications
- Experience working in fast-moving early-stage environments
What we offer:
- Real impact: your code provides care for patients today
- High autonomy and technical ownership - you'll shape our computer vision architecture
- Work at the intersection of cutting-edge AI, edge computing, and healthcare
- A talented, excellent, diverse and international team
- Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
- Talented, international team tackling meaningful problems in remote patient monitoring
- Competitive salary
- Transparent, mission-driven culture focused on continuous learning