Canals · 3 months ago
Machine Learning Engineer
United States
Full-time
Hybrid
Senior LevelCanals is a bootstrapped, profitable startup transforming logistics and distribution with AI. They are seeking a senior-level Machine Learning Engineer who will design, build, and maintain scalable machine learning models to improve and automate logistics processes for their customers.
Computer Software
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
Qualification
Required
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
Preferred
Previous experience in high-growth startups or small teams is a plus
Familiarity with MLOps practices and tools is a plus
Benefits
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.
Company
Canals
Canals provides software that automates order entry, accounts payable, and purchasing workflows in distribution.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase