Machine Learning Engineer

Canals is a bootstrapped, profitable startup transforming logistics and distribution with AI. We're looking for a senior-level Machine Learning Engineer to design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

Requirements

• Senior-level experience building and deploying machine learning models in production environments
• Experience designing scalable data pipelines and working with large datasets
• 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

Benefits

• Bootstrapped and profitable company
• 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
• Remote-first, flexible work environment across North and South America
• Opportunity to grow while staying close to technical work, including potential for ML leadership as we scale