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. Apply tot his job