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
Solid Python and modern 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.