Remote Position
Machine Learning Engineer
🌍 Remote · United States
💼 Full-time
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 80-person team (~50 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 or 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