Senior ML Engineer: End-to-End Production Pipelines (Remote)

Canals; Denver (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

Canals, a software company for wholesale distributors, is seeking a senior‑level Machine Learning Engineer to design, build, and deploy scalable ML models that automate logistics for our customers. You will own projects end‑to‑end, from data exploration to production monitoring, collaborate with engineering to deliver value, and mentor teammates while promoting reproducible, high‑quality ML practices.

Join our remote‑first team distributed across North and South America, with a fast‑paced,

Qualifications

• 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 (scikit-learn, PyTorch, TensorFlow) and data tools (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.

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 ML Engineer

End-to-end ML

Production ML

Python

Data pipelines

Mentoring

MLOps

Startup experience

Tools

Pandas

Spark

scikit-learn

PyTorch

TensorFlow

Job description

Canals, a software company for wholesale distributors, is seeking a senior‑level Machine Learning Engineer to design, build, and deploy scalable ML models that automate logistics for our customers. You will own projects end‑to‑end, from data exploration to production monitoring, collaborate with engineering to deliver value, and mentor teammates while promoting reproducible, high‑quality ML practices.

Join our remote‑first team distributed across North and South America, with a fast‑paced,