Shape the future of homeownership with Opendoor as an Applied Scientist in AI/ML. You will tackle complex machine learning challenges and enhance pricing systems that affect customers directly. Opendoor seeks an Applied Scientist at all levels to develop advanced machine learning models to optimize home valuation processes.

You will engage with structured and unstructured data while collaborating with cross-functional teams to improve pricing accuracy and transparency. Your expertise in Python and deep learning architectures will be essential to your success. Key Responsibilities:

- Design and implement improvements for valuation models
- Build interpretable machine learning models for pricing decisions




- Integrate unstructured data into forecasting pipelines
- Collaborate with Engineering to enhance pricing systems
- Optimize feature engineering and model training processes

Requirements:

- Robust software engineering skills in Python
- Experience deploying machine learning models end-to-end
- Hands-on experience with deep learning architectures
- Advanced degree in a quantitative field
- Solid foundation in statistics and experimental design

Drive innovation in home valuation with your expertise in AI and machine learning at Opendoor.

📌 Applied Scientist AI/ML at Opendoor (Toronto)
🏢 Opendoor
📍 Toronto