06 Sep
|
Opendoor
|
Toronto
Contribute to the evolution of homeownership at Opendoor as an AI/ML Scientist. You will innovate around valuation systems and redefine how we leverage data for better decision-making. In this role, you will serve as an Applied Scientist at Opendoor, focusing on cutting-edge machine learning problems that extend beyond pricing.
Leveraging your engineering skills in Python, you will tackle challenges in operational optimization and multi-modal modeling. Collaboration with cross-functional stakeholders will be key to delivering impactful solutions. Key Responsibilities:
- Develop architectural improvements for deep neural networks
- Create interpretable models for pricing explanations
- Incorporate unstructured data into machine learning pipelines
- Work with Engineering to enhance pricing systems
- Rethink risk and optimization models using real-world data
Requirements:
- Proficiency in Python for production code
- Practical experience in end-to-end ML model development
- Familiarity with deep learning technologies
- Master’s or PhD in relevant fields
- Solid communication and collaboration skills
Bring your AI/ML expertise to transform how we approach home valuation processes at Opendoor.
📌 AI/ML Scientist Opportunity with Opendoor (Toronto)
🏢 Opendoor
📍 Toronto