Machine Learning Engineer- Services

About the role

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.

Responsibilities

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Arcitect 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

Requirements

• 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

Qualifications

The pay range for this role is: 169,600 - 233,200 USD per year (US Zone 2)

Skills

• Go or Python
• SQL and relational databases (PostgreSQL preferred)
• Distributed systems concepts
• Kafka or similar event-streaming technologies
• AI-assisted development tools
• BPMN or other workflow engines
• Redis or other caching / storage optimization technologies
• gRPC and service-to-service communication patterns

Benefits

• Flexible working hours
• Competitive compensation package
• Health insurance
• Retirement savings plan
• Professional development opportunities

Pay

169,600 - 233,200 USD per year (US Zone 2)

Schedule

Full-time

Research & Development

Seattle, WA