Posted 5 months ago
Computer Vision/ML Engineer
@ Norbert Health
Montréal, Quebec
Overview
Norbert Health is hiring a lead deep learning engineer to build computer vision models for its autonomous healthcare robots. The role covers real-time edge inference, model optimization for embedded hardware, and MLOps pipelines, with a focus on FDA-cleared contactless vital sign sensing. Strong C++ and Python skills and 5+ years deploying vision models to production are required, plus a Master's or PhD in machine learning or computer vision.
Responsibilities:
- Design, fine-tune and deploy computer vision models for real-time edge inference
- Optimize models for embedded deployment with quantization, pruning, TensorRT and Triton
- Build and maintain MLOps pipelines for training, validation and monitoring
- Develop video processing pipelines combining signal processing and ML vital sign extraction
- Set engineering best practices and shape the computer vision architecture
Requirements summary:
- Master's or PhD in machine learning or computer vision
- 5+ years deploying computer vision models to production
- Strong C++ for edge deployment pipeline
- Solid Python for ML experimentation and tooling
- Experience with PyTorch and model optimization for edge AI
- Ability to work independently and drive projects to completion
Tools & skills
Source and dates
Employer career site / ATS feed · breezy
- Employer posting date
- 2026-06-21
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Machine learning, Computer vision |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Norbert Health
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The AI module for autonomous care in the real world
Full company description
Norbert is a physical and medical AI module that turns any robot into a health assistant — bringing care delivery to wherever patients are. Currently deployed in the real-world, and built for healthcare environments, Norbert enables robots to naturally interact with patients, measure vitals without contact, assess mobility and various behavioral signals, and share insights with care teams. By combining robotics, AI, and human-centered design, Norbert helps nurses and caregivers deliver safer, more preventive, and more personalized care. With no added staff or complex change management. We’re partnering with forward-thinking care providers to redefine how AI and robotics enhance care delivery and patient engagement.
- LinkedIn followers
- 2,288
- People associated on LinkedIn
- 17
- Reported office locations
- Brooklyn, NY, US
- Paris, FR
- Business categories
- Health Diagnostics
- Health Care
- Personal Health
- Other recorded names
- Norbert Health
- Profile identifies a recruitment agency
- No
- Reported total investment
- 8,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Norbert is a physical and medical AI module that turns any robot into a health assistant — bringing care delivery to wherever patients are. Currently deployed in the real-world, and built for healthcare environments, Norbert enables robots to naturally interact with patients, measure vitals without contact, assess mobility and various behavioral signals, and share insights with care teams. By combining robotics…
| Field | Value |
|---|---|
| Industry | Wellness and Fitness Services |
| Company size | 11-50 employees |
| Headquarters | Brooklyn, NY |
| Organization type | Privately Held |
| Year founded | 2019 |
| Open jobs on Jobsy | 4 |
| View page |
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
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