Machine Learning Engineer

Canals is a rapidly growing company that builds software for wholesale distributors, leveraging automation and AI to enhance operational efficiency. They are seeking a senior-level Machine Learning Engineer to design and maintain scalable machine learning models, oversee end-to-end ML pipelines, and collaborate with engineering teams to deliver impactful product features.

Responsibilities:

• 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

Requirements:

• 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