What are the responsibilities and job description for the Machine Learning Engineer- Services position at Opendoor?
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 Team
The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.
We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.
As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.
What You’ll Do
169,600 - 233,200 USD per year(US Zone 2)
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 Team
The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.
We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.
As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.
What You’ll Do
- Own the design, implementation, and evolution of core pricing services
- Design data models and write high-performance SQL over large PostgreSQL datasets
- Architect and improve APIs and integrations with Opendoor’s core marketplace platform
- Lead technical design reviews and set best practices for code quality, testing, and observability
- Partner with data science to productionize pricing models and build robust model-serving pipelines
- Drive reliability, latency, and scalability improvements across pricing systems
- Mentor other engineers and help grow the technical capabilities of the team
- Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end
- 5 years of professional backend software engineering experience
- Significant experience building and operating production systems in Go or Python
- Deep proficiency with SQL and relational databases (PostgreSQL preferred)
- Strong track record designing, building, and evolving APIs in a microservices environment
- Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
- Experience leading technical projects from design through rollout and support
- Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
- Experience with Kafka or similar event-streaming technologies
- Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
- Experience with BPMN or other workflow engines and long-running business processes
- Experience with Redis or other caching / storage optimization technologies
- Experience with gRPC and service-to-service communication patterns at scale
- Prior experience in pricing, marketplaces, or other data-intensive domains
169,600 - 233,200 USD per year(US Zone 2)