---
title: 'Machine Learning Engineer at Canals'
canonical: 'https://feeny.ai/job/machine-learning-engineer-canals-bogota-6mz6kftjzadw'
type: 'job'
last_seen: '2026-09-07'
---

# Machine Learning Engineer at Canals

- **Company:** Canals
- **Location:** Bogota, Colombia
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-14
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/canals/e8b48781-447e-4564-9870-e108fcfc899c

## Job description

## ABOUT CANALS

Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.

Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.

We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.

## THE ROLE

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.

## WHAT YOU’LL DO

- 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.

## WHAT YOU'LL BRING

- 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.

## WHY JOIN CANALS

We're building software that solves real problems for an industry that keeps the world running. Our customers rely on our platform every day to operate their businesses.

We've found strong product-market fit and continue to grow quickly, creating opportunities for people who want to have a meaningful impact on the trajectory of a company.

We believe great people build great companies. That's why we invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.

You'll work alongside ambitious, thoughtful teammates who care deeply about what they do, challenge each other directly, and have a lot of fun along the way.

We value ownership, transparency, and continuous improvement. Good ideas can come from anywhere, and people are trusted to make things happen.

We're remote-first, flexible, and distributed across North and South America, bringing together talented people from a wide range of backgrounds and experiences.

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.

## About Canals

## Company Overview
- **One-liner**: Canals provides AI-powered workflow automation for the industrial supply chain, helping manufacturers, distributors, and contractors automate sales orders, accounts payable, purchasing, and invoicing.
- **Entity Type**: Bootstrapped (profitable, 90% employee-owned)
- **Headquarters**: Coral Gables, Florida, United States
- **Founded**: Not publicly available
- **Founders**: Michael Delgado (Co-Founder & CEO), Erez Arnon (Co-Founder & CTO)

## Core Business
- Primary industry: Industrial supply chain software (manufacturing, distribution, construction)
- Target customers: B2B – mid-market to enterprise distributors, manufacturers, and contractors (vertical focus: electrical, plumbing, HVAC, mechanical, industrial/MRO, lumber, building materials)
- Mission: Build reliable, AI-powered software that delivers real, measurable improvements for the people, processes, and partnerships that keep the industrial sector going.

## Products & Services
- **AI-Powered Sales Order Entry**: Automatically converts customer requests (handwritten notes, PDFs, emails, spreadsheets, voicemails) into quotes or orders for ERP approval.
- **Accounts Payable Automation**: Examines invoices against business rules and automatically processes valid invoices into payables in the ERP.
- **Purchasing & Receiving Automation**: Reads vendor acknowledgments, shipping notices, and packing slips, compares them to POs, flags discrepancies, and auto-updates ship dates.
- **Part Number Conversion**: Converts large product lists between different manufacturers or formats (e.g., after an acquisition or for competitive pricing).

All products are SaaS, integrate with major ERPs, and are trained specifically for industrial verticals.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (bootstrapped, no outside funding)
- **Key Metric**: Total sales processed >$2.1B; 2M+ payables submitted; 90% cash application match accuracy; 99% invoice processing accuracy; 8x improvement in sales hit rate; 2-week average implementation time.
- **Notable Investors/Partners**: None (bootstrapped); key customers include United Electric, R.S. Hughes, and Puget Sound Pipe & Supply.
- **Growth Signals**: 167.6% employee headcount growth year-over-year (81 employees, +62 people); operates in 7 countries (USA, Brazil, Colombia, Argentina, Canada, Uruguay, Israel); 96 active job postings; over 100 distributors use Canals.

## Competitive Advantages
- AI models purpose-built for industrial supply chain nuances (no generic AI)
- Pre-built ERP integrations with minimal IT lift (implementation in days, not months)
- SOC 2 Type 2 compliant
- Bootstrapped and profitable, allowing long-term product focus without investor pressure
- 90% employee-owned, fostering high alignment and retention
- Proven results (8x hit rate, 99% invoice accuracy) with measurable ROI for customers

## Strategic Focus
- Deepen AI automation across the entire customer-supplier interaction lifecycle (sales, service, accounting, purchasing, receiving)
- Expand vertically within construction, manufacturing, and distribution (electrical, plumbing, HVAC, mechanical, lumber, building materials)
- Scale globally (already in 7 countries) and continue headcount growth
- Maintain a product-led, customer-obsessed approach with rapid iteration

## Why Work Here
- Culture: “90% employee owned”, bootstrapped, and profitable – rare combination that gives employees ownership and stability. The team is described as “world-class” with backgrounds from top tech companies like Google, Mercado Libre, and others.
- Work policy: Hybrid/in-office with options for remote depending on role. Headquarters in Coral Gables, FL, with offices in multiple locations (New York, Brazil, Colombia, etc.). Built In lists roles as “In-Office or Remote” and some fully remote.
- Growth: 96 open positions across engineering (48% of workforce), customer success, sales, marketing, product, and more. Senior-level roles available.
- Perks: Employee ownership, fast-paced environment, direct impact on product direction, working on real-world problems with immediate customer value.
- Engineering culture: Strong (48% technical staff), with ML leaders, emphasis on rigorous engineering standards, and a “just works” product philosophy.

## Sources
1. [Canals About Page](https://www.canals.ai/about)
2. [Canals Website](https://www.canals.ai/)
3. [Canals LinkedIn](https://www.linkedin.com/company/canals-ai)
4. [Canals Built In Profile](https://builtin.com/company/canals)
5. [Canals Careers Page](https://jobs.ashbyhq.com/canals)

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