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.*