We are a team building the infrastructure for the agent era. A decade ago, the brands that leaned into mobile won. The same shift is happening with agents: how people find businesses, ask questions, and buy is moving from static pages into conversations. 800 million people already discover brands through agent search, and who gets chosen is being decided right now.
Make Point11's digital twins more faithful to the customers they stand in for. You own the models and data behind them: how a twin is built from a company's own records, how we measure that it behaves like the real customer, and how it improves with every campaign. Every interaction has to feel intelligent, and it has to happen in .11 seconds. Small team, high bar. Founded by ex-Googlers. We hire accordingly.
What Your First Year Looks Like Measure how closely a customer's digital twins predict real outcomes, then close the gap.
Build the forecasting models that turn a campaign's answers into demand a brand can plan around.
Design the training and evaluation pipeline that lets every customer's twins improve without leaking one company's data into another's.
What the Day-to-Day Feels Like Own modelling for digital twins: features, training, evaluation, and deployment




Build data pipelines from customer CRMs and warehouses into model-ready form
Run experiments with clear hypotheses and honest results
Partner with AI Engineers on where models end and LLM agents begin
Take models to production and own their quality there
About You You've trained and shipped machine learning models that run in production
You're strong in Python and the modern ML stack
You're rigorous about evaluation, baselines, and statistical validity
You can explain a model's behavior to an engineer and to a customer
You're in Toronto or willing to relocate. This role is hybrid, in our Toronto office three days a week. This posting is for an existing vacancy.
Even Better If You Have Forecasting, causal inference, or recommender systems
Synthetic data or simulation
Privacy-preserving or multi-tenant machine learning
Experience with LLM fine-tuning or embeddings
What We Offer Your models decide how faithful our product is
Hybrid in Toronto, in Recent York's time zone
A founding role in Point11's Canadian team
A direct line to the founding team on product
An annual learning budget for conferences and development

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📌 Machine Learning Engineer Toronto, ON (Hybrid) · View role (Ontario)
🏢 Point11
📍 Ontario