Base: $156,000 - $234,000 cad; bonus/equity: not s...
On-site
Design, develop, and deploy scalable ml models
End-to-end ml lifecycle ownership
Python and strong software engineering fundamentals
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us
Job Summary
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
As part of our team, you will operate at the intersection of deep applied research and scalable engineering.
In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.
Matching Summary
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
Salary
Base: $156,000 - $234,000 CAD; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
design, develop, and deploy scalable ML models
end-to-end ML lifecycle ownership
Python and strong software engineering fundamentals
PyTorch, TensorFlow, Scikit-learn, Hugging Face
deploy ML models into production systems
AWS or GCP cloud platforms
Docker and Kubernetes
Nice-to-have
curious minds and courageous collaborators
principles of Responsible AI
sun-drenched optimism and drive
Key Requirements
7+ years of industry experience
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related quantitative field (or equivalent practical experience)