Machine Learning Engineer
About Canals
Canals is a fully remote, profitable startup transforming the industrial supply chain ($10T industry) with AI. Our platform seamlessly integrates with the systems distributors already use, automating tedious tasks and reducing failure points in moving physical goods across the globe.
We’re a 70-person team (~45 in engineering), located across North and South America.
The Role
Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.
What You’ll Do
Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.
Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.
Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.
Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.
Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.
Help shape the future of Canals as we continue scaling with our customers.
What You'll Bring
Senior-level experience building and deploying machine learning models in production environments.
Experience designing scalable data pipelines and working with large datasets.
Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.
Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).
Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.
Experience working independently in a fast-paced, product-focused environment.
Previous experience in high-growth startups or small teams is a plus.
Familiarity with MLOps practices and tools is a plus.
Why Join Canals
We're profitable: stability without the chaos of venture pivots.
Real-world impact: your work improves global supply chains, saving customers time and reducing waste.
Strong engineering culture: we invest in quality and documentation to keep moving fast sustainably.
Culture of ownership: moving fast while putting quality first
Remote-first, flexible work environment across North and South America.
Stellar product-market fit with tons of customer love
All star team with diverse backgrounds to collaborate with and learn from
Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.