Machine Learning Engineer

Canals
District of Columbia, New York, San Francisco, Denver, Brazil
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Python","Communication","Leadership","Problem-solving"]

Lead end-to-end ML pipelines to design and deploy scalable models for logistics automation in a remote-friendly startup, collaborating with engineering teams to deliver customer value, mentoring others, and shaping product features that have real-world impact.

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Canals
Canals
10 months ago

Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead end-to-end ML pipelines to design and deploy scalable models for logistics automation in a remote-friendly startup, collaborating with engineering teams to deliver customer value, mentoring others, and shaping product features that have real-world impact.
Location: District of Columbia, New York, San Francisco, Denver, Brazil
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key 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.

Key Requirements

  • •Senior-level experience building and deploying machine learning models in production environments.
  • •Experience designing scalable data pipelines and working with large datasets.
Skills:PythonCommunicationLeadershipProblem-solving
Tech Stack:PythonScikit-learnPyTorchTensorFlowPandasSpark

Company Brief

Canals
Canals provides AI-powered automation for distributors to convert unstructured customer requests (emails, PDFs, spreadsheets) into ERP-ready quotes, orders, and accounts payable workflows, reducing manual entry and speeding quoting and payment processes.
Industry: Supply Chain Technology
Company Size: Small (11 to 50 employees)
Headquarters: Coral Gables, United States
Founded: 2021
WebsiteLinkedIn