Shape Point11 digital twins with forecasting and model evaluation while working hybrid from the Toronto office three days weekly.

This Machine Learning Engineer role focuses on making digital twins faithfully represent the customers they stand in for. You will build models from company records, assess predicted outcomes, and improve twins through campaign learning. Your work includes features, training, deployment, experiments, and production quality. You will also partner with AI Engineers on model and LLM agent boundaries.

Key Responsibilities:

- Own digital twin modelling from features through deployment
- Evaluate predictions against real customer outcomes
- Turn campaign answers into brand demand forecasts
- Run experiments with clear hypotheses and honest results
- Collaborate on models and LLM agent boundaries

Requirements:

- Experience shipping production machine learning models
- Robust Python and modern machine learning stack knowledge
- Rigor with evaluation, baselines, and statistical validity
- Clear communication with engineers and customers
- Toronto location or relocation willingness

Bring forecasting, modelling, experimentation, and communication skills to improve Point11 digital twin quality in production.

📌 Digital Twin Machine Learning Engineer (Toronto)
🏢 Point11
📍 Toronto