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# Machine Learning Engineer

- **Company:** Canal Corp
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Code Review, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Apache Spark, Pandas, Scikit Learn, Machine Learning Operations, Data Pipelines
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=47b0fb9ad8eb724d

## About the Role

* 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.

## Description

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., * 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.