Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.
Company Overview