Software Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

OpendoorJobs
Software Engineer

Software Engineer

Reposted 2 Hours Ago
Seattle WA USA
Hybrid
247K-340K Annually
Senior level
eCommerce • Fintech • Real Estate • Software • PropTech
Come home to your dream job
The Role
The AI/ML Platform Engineer will design and build scalable AI feature platforms ensure ML integration and mentor teams across departments.
Summary Generated by Built In

About Opendoor

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth stability and community. It's how families put down roots how neighborhoods strengthen how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

About the Role

Opendoor is seeking an AI/ML Platform Engineer to join our Engineering team in our Seattle WA office and will play a critical role in our strategic transition to AI-powered pricing models. This high-impact business-critical position will focus on building the scalable production-grade platform and infrastructure necessary to support sophisticated ML models particularly leveraging complex data sources like imagery and video. 

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 $247000.00 - $339900.00 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.

Skills Required

  • Extensive experience as a technical leader in large-scale production software environments
  • Proven track record of designing and implementing ML/Data Platforms
  • Deep expertise in distributed systems and cloud infrastructure
  • Strong background in data infrastructure and API design for ML
  • Experience in domains where AI/ML is critical

What the Team is Saying

Daniel
Maggie
Sherry

Opendoor Compensation & Benefits Highlights

  • Healthcare StrengthHealthcare Strength: Health coverage is described as comprehensive including medical dental vision FSA mental‑health support and pet insurance. This breadth signals a strong healthcare package across core and wellness elements.
  • Leave & Time Off BreadthLeave & Time Off Breadth: Time off is characterized by an open/unlimited PTO approach with paid holidays and sick time. Utilization is generally described as generous under this structure.
  • Equity Value & AccessibilityEquity Value & Accessibility: Equity grants and an Employee Stock Purchase Plan (ESPP) are part of total rewards. These elements provide accessible ownership opportunities beyond base pay.

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The Company
HQ: San Francisco CA
1600 Employees
Year Founded: 2014

What We Do

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 confusing. It often comes with unexpected costs the added burden of coordinating multiple third parties and the uncertainty of a transaction falling through. Our goal is simple: build a digital end-to-end customer experience that makes buying and selling a home simple certain and fast. We have assembled a dedicated team with diverse backgrounds and talents across engineering operations design operations mortgage finance legal and more to deliver strong results. More than 85000 customers have selected us as a trusted partner in handling one of their largest financial transactions.

Why Work With Us

We’re on a mission to power life’s progress one move at a time

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Opendoor Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQSan Francisco CA
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Bengaluru IN
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Chennai IN
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Dallas TX
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Hyderabad IN
Portland OR
Raleigh NC
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Tempe AZ
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Date Posted

06/06/2026

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