Opendoor

Opendoor is seeking an Applied Scientist to advance their ML/AI capabilities, focusing on valuation systems and expanding into multi-modal modeling and operational optimization. The role involves developing and deploying deep learning models, incorporating unstructured data, and enhancing human-in-the-loop pricing systems, with opportunities to work across the research and modeling stack.

Opendoor is seeking a Finance Automation Lead to build AI-powered finance infrastructure, create finance tools and products, own data architecture for finance, and drive automation at scale. The role involves designing and deploying AI agents, architecting data pipelines, building semantic layers for natural language data access, and developing internal tools to automate manual finance processes. The ideal candidate has experience building and deploying AI agents in production, advanced SQL, Python for data engineering, and familiarity with AI orchestration frameworks.

Opendoor is seeking an AI Operations Engineer to build AI-powered workflows and automation to improve operational efficiency and scale. The role involves system design, prototyping, shipping experiments, and operationalizing models, with a focus on building and maintaining AI-powered internal tools and automation.

AI Operations Engineer at Opendoor focused on building AI-powered workflows, automation, and internal tools to improve operational efficiency and scale. The role involves system design, prototyping, shipping experiments, and operationalizing models, with a focus on practical application and impact.

Opendoor is seeking an Applied Scientist to tackle complex quantitative challenges in pricing, resale strategy, demand modeling, and risk management. The role involves building structural models, econometrics, optimization, and decision-making systems for a low-margin, high-stakes business. The ideal candidate will combine strong modeling intuition with hands-on engineering to create practical, production-quality solutions, influencing real-world decisions and impacting business outcomes.

Applied Scientist role focused on quantitative modeling, econometrics, optimization, and decision-making under uncertainty for pricing, resale strategy, demand modeling, and risk management within a low-margin, high-stakes business. The role requires strong Python coding for production-quality scientific code, experience with various modeling techniques (causal inference, Bayesian, structural, forecasting, pricing, optimization), and the ability to translate ambiguous business problems into rigorous modeling approaches. It involves building models, developing optimization frameworks, applying statistical/econometric/mathematical techniques, designing experiments, and partnering with cross-functional teams to influence real decisions. While not core AI research, it leverages ML methods and has potential applications with LLMs/VLMs.

Applied Scientist role focused on quantitative modeling, econometrics, optimization, and decision-making under uncertainty for pricing, resale strategy, demand modeling, and risk management within a low-margin, high-stakes business. The role involves building production-quality scientific code, designing experiments, and partnering with Engineering and Product to influence real decisions.

Senior Accountant role focused on leveraging AI tools and automation to streamline accounting workflows, enhance data analysis, and support scalable processes. The role involves preparing and reviewing financial statements, journal entries, reconciliations, and supporting audits, with an emphasis on modernizing team operations through technology.

Senior Accountant role focused on leveraging AI tools and automation to streamline accounting workflows, enhance data analysis, and support scalable processes. The role involves preparing and reviewing financial statements, journal entries, and reconciliations, with a strong emphasis on identifying opportunities to modernize team operations through technology.

Software Engineer role focused on building AI-driven automation for financial workflows, integrating enterprise systems, and implementing observability for financial data systems. The role involves using LLMs, agent frameworks, and workflow orchestration to eliminate manual processes in areas like journal entries and reconciliations.

Software Engineer to build AI-driven automation for financial workflows, integrating enterprise systems and applying software engineering best practices.