Top Tech Jobs & Startup Jobs

Build and maintain People and TA dashboards, execute compensation and leveling projects, automate recurring People Operations tasks, support TA analytics, improve HRIS/data quality, prototype AI tools for People workflows, and translate sensitive comp and people data into decision-ready narratives for leadership.

As an Applied Scientist, you'll develop and deploy ML models, enhance pricing systems, and work with structured and unstructured data to improve decision-making.

The Applied Scientist role involves developing quantitative models for decision-making under uncertainty, focusing on pricing, demand modeling, and risk management. Responsibilities include building and optimizing models, collaborating with engineering and product teams, and translating complex problems into actionable solutions.

The Applied Scientist will tackle various machine learning problems, enhance valuation systems, and deploy deep learning models while collaborating with cross-functional teams.

As an Applied Scientist, you will push the limits of AI/ML in home valuation, tackling diverse ML challenges and optimizing decision-making with data.

The Applied Scientist will develop quantitative models to improve pricing, demand forecasting, and risk management, collaborating with cross-functional teams to implement solutions.

Own full-cycle technical recruiting for product and platform teams: source via multi-channel strategies, screen for system design and ML fundamentals, partner with hiring managers, embed AI into recruiting workflows, build scalable processes, and improve ATS, interview frameworks, and pipeline analytics.

As a Software Engineer at Opendoor, you will build crucial production systems, own features from design to deployment, and mentor teammates while leveraging AI tools.

As a Data Scientist at Opendoor, you'll enhance pricing strategies through statistical models, machine learning, experiments, and interdisciplinary collaboration to drive business outcomes.

As an Applied Scientist, you will develop quantitative models for decision-making in pricing, resale strategy, and risk management, involving hands-on coding and collaboration with other teams.