- Job Type: Full-Time
- Function: Data Science
- Industry: Proptech
- Post Date: 04/28/2026
- Website: opendoor.com
- Company Address: 410 N Scottsdale Rd, Ste 1600, Tempe, Arizona 85281, US
About Opendoor
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast.Job Description
About the Role
What You'll Do
- Platform Leadership: Lead the architecture, design, and implementation of the AI/ML feature platform, focusing on scalability, reliability, and high performance for core business systems (e.g., pricing, transaction platforms).
- Feature Engineering Infrastructure: Design and build large-scale data pipelines responsible for generating, indexing, and versioning AI-derived features (predictions, embeddings) from structured and unstructured data, with a specific emphasis on image and video data.
- AI Integration: Ensure seamless integration of ML capabilities into production, setting technical standards for real-time AI consumption and agentic optimization within pricing and customer-facing products.
- Cross-Functional Collaboration: Partner closely with Data Science, Product, and Operations teams to translate business needs into technical requirements, ensuring the platform delivers tangible business outcomes like reduced spreads and increased transaction volume.
- Mentorship & Direction: Serve as a technical mentor and leader, setting the technical direction and best practices for the new AI/ML platform group.
What You'll Need
- Extensive experience as a technical leader (Staff/Senior Staff level) in large-scale, production software and data environments.
- Proven track record of designing and implementing ML/Data Platforms or Feature Stores that directly support production AI/ML models.
- Deep expertise in distributed systems, cloud infrastructure, and large-scale data processing (e.g., vector search, data versioning).
- Strong background in data infrastructure and API design, particularly serving data for machine learning consumption.
- Experience in a domain where AI/ML is critical to the core business (e.g., pricing, optimization, recommendations).
Highly Sought-After Skills
- Prior experience with computer vision pipelines or handling large-scale image/video data for ML.
- Familiarity with the technical challenges of managing compute and data versioning to optimize ML iteration cycles.
- Experience with agentic optimization frameworks.
Compensation
The base pay range for this position is $247,000 - $309,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.