We Love AI JobsMachine Learning Engineer
CanalsAbout 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.