Machine Learning Engineer Bogota; Denver; New York; San Francisco; Sao Paulo Employment Type Location Type OverviewApplication 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

Relevance is based on skills and concepts, not a guarantee that you qualify.

Covered skills: AI fundamentals Machine learning Deep learning Python MLOps

Skills to close: None listed

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Understand the core principles separating total capacity from active computation in neural networks.

2. Router Architecture and Design





Build and configure routing layers that distribute tokens effectively across expert subnetworks.

3. Training Stable MoE Systems

Implement training techniques that prevent expert collapse and maintain balanced utilization.

4. Inference Optimization for Sparse Models

Deploy MoE systems with efficient memory management, batching, and serving infrastructure.

5. Evaluating Sparse vs Dense Tradeoffs

Build decision frameworks comparing model architectures on cost, latency, and capability dimensions.

6. Hybrid and Compositional Architectures

Combine sparse activation with retrieval, caching, and other efficiency techniques in production systems.

7. Real-World Deployment Patterns

Apply sparse activation to high-volume use cases including agents, multimodal systems, and domain-specific tools.

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📌 Machine Learning Engineer (Bogotá)
🏢 EducationPals
📍 Bogotá