USD per year
Machine Learning Engineer
In-person · Toronto Salary $170K - $250K CAD Equity 0.05% - 0.15% Role Machine learning engineering
About Provision
Provision helps construction teams understand complex project documents, identify risk, and turn fragmented information into decisions. We are building an AI-native product for work where accuracy, evidence, and trust matter.
The Role
We are looking for a Machine Learning Engineer to own applied ML systems from problem definition through production. You will work closely with engineering, product, and domain experts to improve how Provision understands construction documents, retrieves evidence, evaluates answers, and learns from real customer workflows. This is a hands-on role for someone who can move between models, data, evaluation, software, and product judgment. The goal is not a demo; it is reliable intelligence that customers can use in consequential work.
What You Will Do
- Build and operate production ML and AI systems for document understanding, retrieval, extraction, and reasoning.
- Design evaluation datasets, metrics, experiments, and error-analysis loops that make quality measurable.
- Improve data pipelines and feedback loops while protecting the integrity and provenance of training and evaluation data.
- Make pragmatic decisions across prompting, retrieval, model selection, fine-tuning, and conventional ML approaches.
- Build observability for model behavior, cost, latency, reliability, and regressions.
- Partner with product and construction experts to turn ambiguous customer problems into testable technical plans.
- Contribute production-quality Python and collaborate across the broader application stack.
What We Are Looking For
- Experience shipping and operating ML or AI systems used by real customers.
- Strong Python and software-engineering fundamentals, including testing, debugging, APIs, and data systems.
- Practical experience with modern language or multimodal models, retrieval systems, and evaluation methods.
- Sound judgment about data quality, experimentation, failure modes, and the limits of model outputs.
- Ability to explain technical tradeoffs clearly and work closely with product and domain partners.
- Comfort operating with ownership, pace, and ambiguity in an early-stage environment.
- Willingness to work with the team in person in Toronto.
Interview Process
Introductory call · 20 minutes: A focused conversation about Provision, the role, your experience, and mutual fit.
2. Online technical interview · 2 hours: A collaborative ML problem covering problem framing,...
Provision was founded to make construction projects more profitable by eliminating risks and inefficiencies contractors face with complex contracts, drawings, and estimates. The company combines advanced AI with deep industry knowledge to empower contractors to win more work, reduce costly errors, and focus on building. Their mission is to provide tools that make construction projects more predictable, profitable, and easier to deliver. The vision is for every contractor, regardless of size, to have access to the same level of insight and capability as the largest industry players.
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