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