Machine Learning Engineer [Aplica ya]...

Machine Learning Engineer – Canals

Canals Bogota, D.C., Capital District, Colombia

Remote – North or South America | Full-Time | Canals

About Canals

Canals is a bootstrapped, profitable startup transforming logistics and distribution with AI. Our platform seamlessly integrates with the systems distributors, manufacturers, and vendors already use, automating tedious tasks and reducing failure points in moving physical goods across the globe. We’re a 40-person, fully remote team (30 in engineering) across North and South America, operating at millions in ARR and growing rapidly without outside funding.

The Opportunity

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 We’re Looking For

Why Join Canals

Seniority Level

Employment Type

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