Machine Learning Engineer, Clarius Mobile Health
CA$110-130k
Portable handheld ultrasound systems
Job no longer available
Portable handheld ultrasound systems
101-200 employees
Job no longer available
CA$110-130k
101-200 employees
Company mission
To make ultrasound more accessible with an affordable, intuitive solution.
Role
Who you are
- This role requires experience in model building, deployment, and software engineering best practices to ensure scalable and efficient ML systems
- This candidate will excel in finding creative solutions to continually improve the performance and safety of ML in production
- It is ideal for someone with industry experience who is eager to build robust, high-performing models and contribute to cutting-edge advancements in machine learning applications
- Bachelor’s or master’s degree in Computer Science, Machine Learning, or a related field
- 3+ years experience in industry is required
- Strong background in machine learning, deep learning, and model deployment
- Proficiency in Python and experience with ML frameworks such as TensorFlow and PyTorch
- Experience in software engineering best practices, including version control and testing
- Strong problem-solving skills and ability to work on complex ML engineering challenges
- Experience optimizing model performance and inference speed, preferred
- Experience with Linux and working in remote environments, preferred.
- Familiarity with cloud platforms and deployment tools (e.g., Docker, Kubernetes, AWS, GCP). would be a strong bonus
What the job involves
- Clarius Mobile Health is looking for a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while continuing to advance our next-generation innovations
- Over the next 12 months, the Machine Learning Engineer will focus on the development, training, and deployment of machine learning models in both research and production settings
- If we meet our project milestones, there’s a strong possibility of this role being extended or turning into a permanent position
- Develop, train, and deploy machine learning models for both research and production
- Optimize model performance and scalability for deployment
- Design and maintain ML pipelines for efficient data processing and training
- Automate model retraining, evaluation, and monitoring in production
- Collaborate with researchers and software engineers to transfer ML research into practical applications
- Address and minimize ML technical debt, ensuring maintainable and efficient code
Our take
The big issue with handheld ultrasound isn't the device - it's reading the images. These tools are now portable and affordable enough for everyday use, but interpreting blurry, grayscale scans (especially of complex organs like the heart) still requires specialist training. So that leaves many primary care doctors relying on referrals, which can slow down diagnosis for common but serious issues.
Clarius Mobile Health builds handheld ultrasound devices paired with AI software to tackle this issue and interpret scans in real time. Its T-Mode feature splits the screen to show both the standard image and a color-coded, labeled version, making anatomy much easier to understand. Clarius has expanded this across multiple use cases and developed 16 AI models (6 FDA-cleared), with its devices used for nearly 7M scans worldwide.
This is obviously a huge deal, the company unsurprisingly reached profitability in 2025 and reported around 20% growth, while expanding to more than 70 countries. Its focus on making ultrasound easier to use (not just more portable) puts it in a very good position for the future. If this kind of adoption continues, it could help turn ultrasound into a routine tool in everyday primary care.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2015
$16.5m
SERIES B
Jun 2014
$6.5m
SERIES A
Total funding: $24.1m
Company benefits
- Competitive Benefits and Vacation
- Competitive Salary
- Commute/Home Office Allowance
- Flexible Hours & WFM
- Professional Development
- Volunteer Days
Company HQ
Renfrew-Collingwood, Vancouver, BC
Leadership
Laurent Pelissier
(Founder & CEO)Prior to founding Clarius in 2015, Laurent was the founder of Ultrasonix, where he served as the CEO for 13 years. Her also served as a Director at the Medical Device Development Centre for 15 years.
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