05 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 • Robust communication and collaboration skills
Bring your AI/ML expertise to transform how we approach home valuation processes at Opendoor. #J-18808-Ljbffr
📌 AI/ML Scientist Opportunity with Opendoor (Toronto)
🏢 Opendoor
📍 Toronto