Senior Machine Learning Engineer

Our client, a highly-rated and innovative technology start-up, is on a mission to revolutionize the real estate industry through artificial intelligence. This is an opportunity to join a flexible, remote-first environment and make a substantial impact in an expanding, agile team.

In this position, you'll collaborate closely with product, operations, and brokerage teams to create effective machine learning solutions addressing critical business needs. You'll engage in end-to-end development, from understanding complex data sets to validating solutions through experimentation. Your work will have a direct impact on empowering real estate investors, buyers, and sellers with informed decision-making tools.

Key Responsibilities:

• Data Exploration and Analysis: Conduct exploratory data analysis (EDA) to understand data intricacies and identify opportunities for impactful machine learning applications.
• Machine Learning Solution Development: Design and implement mathematical or machine learning-based solutions to real estate challenges, such as:
  • An algorithm for intelligently matching buyers/sellers and real estate agents.
  • Predictive models to determine user intent (e.g., buying or selling).
  • Real estate valuation models that predict sale prices, property tax, and square footage.
• Experiment Design and Testing: Propose and test solutions through offline validation and A/B testing to evaluate and improve the algorithms before launch.
• Communication of Insights: Present complex findings to stakeholders through data visualizations, clear reports, and verbal explanations to ensure alignment with product goals.
• Launch Planning: Develop strategic roadmaps with your manager, focusing on each solution's effort and impact for phased launches.

Qualifications:

• Educational Background: Master's or Ph.D. in a quantitative field such as mathematics, statistics, engineering, or computer science.
• Professional Experience: Minimum of 3 years in data science, data analytics, or machine learning, with a proven track record of applying scientific principles to solve business problems.
• Technical Skills:
  • Proficiency in Python and SQL for data manipulation and model development.
  • Experience with machine learning libraries and frameworks like sklearn, pandas, scipy, xgboost, catboost, and visualization tools such as matplotlib and seaborn.
  • Strong foundation in statistical analysis, including regression, distribution properties, and statistical testing.
  • Practical experience in experiment design, including A/B testing.
  • Preferred familiarity with NoSQL databases (e.g., MongoDB) and visualization tools (Google Data Studio, Google Analytics 4).

Why This Opportunity Stands Out:

• Competitive Salary , Bonus  & Benefits: Enjoy a top-tier compensation package that includes health, dental, life, virtual healthcare, and travel coverage.
• Remote Flexibility: Work from anywhere in Canada, offering the flexibility to suit your lifestyle and achieve work-life balance.
• Mission with Impact: Make a difference by empowering real estate investors, home buyers, and sellers to make smarter decisions with powerful data insights.
• Generous Vacation & Paid Time Off: Recharge with ample vacation days, recognizing the importance of rest and rejuvenation.
• Culture of Continuous Learning: A supportive environment that fosters professional development, giving you access to learning opportunities to advance your career.