Found Description
Join Opendoor as an Applied Scientist to revolutionize machine learning applications. Contribute to innovative pricing models while tackling diverse challenges in AI and ML.
At Opendoor, we seek an Applied Scientist at all levels to enhance our valuation systems and impact real estate decisions. You'll build end-to-end ML models and engage with unstructured data to provide transparent pricing insights. Strong coding skills in Python and a robust understanding of deep learning techniques are essential for this role.
Key Responsibilities:
• Design innovative DNN-based home valuation architectures
• Develop interpretable models for clear pricing explanations
• Integrate unstructured data into forecasting models
• Collaborate with cross-functional teams for system enhancements
• Improve model training and feature engineering pipelines
Requirements:
• Proficiency in Python with production code contributions
• Experience in ML model development and deployment
At Opendoor, we seek an Applied Scientist at all levels to enhance our valuation systems and impact real estate decisions. You'll build end-to-end ML models and engage with unstructured data to provide transparent pricing insights. Strong coding skills in Python and a robust understanding of deep learning techniques are essential for this role.
Key Responsibilities:
• Design innovative DNN-based home valuation architectures
• Develop interpretable models for clear pricing explanations
• Integrate unstructured data into forecasting models
• Collaborate with cross-functional teams for system enhancements
• Improve model training and feature engineering pipelines
Requirements:
• Proficiency in Python with production code contributions
• Experience in ML model development and deployment
Ready to Apply?
Submit your application for AI/ML Applied Scientist at Opendoor at Cacheflow
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