Build privacy-conscious machine learning infrastructure for Point11’s agent-era products from a hybrid Toronto office schedule. As a Machine Learning Engineer, you will transform customer CRM and warehouse records into model-ready data. You will design pipelines that help each customer’s digital twins improve without leaking information across companies. The role combines production modelling, forecasting, rigorous evaluation, experimentation, and deployment. Point11 is founded by ex-Googlers and is hiring for its Canadian team.

Key Responsibilities
Build customer data pipelines from CRMs and warehouses Design isolated training and evaluation pipelines Develop forecasting models for brand planning Run experiments using clear hypotheses Own deployed model quality in production

Requirements:
Trained and shipped machine learning models in production Strong Python and up-to-date machine learning stack capability Experience with rigorous evaluation and statistical validity Ability to explain model behavior to customers Toronto-based or willing to relocate Use Python, data pipelines, privacy-aware modelling, and evaluation to advance Point11 digital twins for agent-driven interactions. #J-18808-Ljbffr

📌 Machine Learning Data Pipeline Engineer (Toronto)
🏢 Point11
📍 Toronto