Senior Machine Learning Engineer Remote (Canada)
Help shape the next frontier of real estate intelligence.

Our client is an innovative PropTech company transforming the way Canadians explore real estate. Trusted by millions, their AI-powered platform delivers instant, accurate property valuations and insights that empower buyers, sellers, and investors to make smart, informed decisions. By combining real-time data with advanced machine learning, the platform simplifies home discovery and pricing with unmatched speed and transparency.

As they expand their platform capabilities, they're looking for a Senior Machine Learning Engineer who's passionate about applying machine learning to real-world problems at scale. This is an opportunity to make your mark in one of Canada's fastest-growing PropTech platforms, while working in a flexible, impact-first culture.

• Collaborate with cross-functional teams (product, brokerage, operations) to design machine learning solutions that tackle high-value business problems

• Take ownership of projects across the ML lifecycle: from ideation and experimentation to development, evaluation, and deployment

• Perform exploratory data analysis, identify actionable insights, and design experiments (A/B tests or offline validations)

• Build intelligent systems for a variety of use cases, including:

  • Forecasting real estate outcomes (e.g., sale prices, taxes, property attributes)

  • User intent prediction (e.g., buying vs. selling behavior)

  • Smart agent matching and lead qualification

  • Personalized recommendations for listings and services

• Communicate findings and solution logic clearly through data storytelling, dashboards, and stakeholder engagement

• Degree in Electrical Engineering, Software Engineering, Computer Engineering, or other related technical fields

• Advanced degrees (Master's or Ph.D.) in machine learning, computer science, statistics, or similar disciplines are a plus

• 4+ years of professional experience in machine learning engineering or data science roles focused on ML

• Proven hands-on experience with classification, regression, recommendation systems, or time-series forecasting

• Solid understanding of statistical principles and model evaluation techniques

• Proficiency in Python and SQL, with experience using ML and data libraries such as scikit-learn , pandas , scipy , matplotlib , seaborn , and tree-based libraries ( XGBoost , LightGBM , etc.)

• Familiarity with experiment design and A/B testing methodologies

• Strong communication and problem-solving skills, with the ability to explain complex ideas clearly to both technical and non-technical stakeholders

• Experience working with NoSQL databases (e.g., MongoDB)

• Knowledge of visualization tools like Google Data Studio or Google Analytics 4

• Exposure to containerized environments (Docker) and Linux-based systems

• Familiarity with deep learning frameworks like PyTorch or TensorFlow is a plus

• A remote-first culture that values impact over hours, giving you the autonomy to work your way

• A chance to shape the future of real estate technology through applied AI

• Competitive compensation and benefits package, including extended health coverage and paid time off

• Continuous opportunities for professional growth and learning

• Work from anywhere in Canada full-time, permanent, and 100% remote

If you're ready to build meaningful ML solutions, apply now and be part of a data-driven transformation in PropTech.