Join Opendoor as an Applied Scientist in AI/ML and be at the forefront of redefining homeownership through technology. Your role will involve pushing the boundaries of machine learning across various complex problems.
At Opendoor, we are on the lookout for an Applied Scientist at all levels to impact our valuation systems and enhance the way we use data. In this role, you will engage with innovative problem-solving, utilizing your software engineering skills in Python and experience with deep learning frameworks. You will collaborate with teams to ensure productive model implementation and optimization.
Key Responsibilities:
• Build and enhance deep neural network architectures
• Construct models to clarify pricing decisions to clients
• Utilize unstructured datasets in valuation processes
• Partner with Engineering to improve pricing systems
• Advance feature engineering and model training pipelines
Requirements:
• Codification expertise in Python
• Proficient in developing ML models end-to-end
• Background in deep learning architectures
• Advanced academic qualifications in quantitative areas
• In-depth knowledge of statistics and experimental design
Leverage your skills in machine learning and AI to make a real difference in the home valuation landscape at Opendoor.
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