Software Engineer, Pricing MLOps

Responsibilities

• Lead the design and implementation of services, tooling, and workflows for reliable training, deployment, and monitoring of pricing and ML models
• Convert model prototypes into clean, testable, production-ready Python code and systems
• Own and operate end-to-end model pipelines, including data ingestion, training, validation, versioning, deployment, and monitoring
• Design and maintain workflows supporting the full ML lifecycle: experimentation, training, evaluation, and iteration
• Develop and optimize data access patterns and SQL queries over large, complex datasets
• Implement automation for key ML workflows such as scheduled retraining, rollbacks, A/B tests, and canary releases
• Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines
• Mentor other engineers and lead technical design discussions and code reviews

Requirements

• 8+ years of experience in software engineering (or 6 years with a Master's degree)
• Substantial experience with ML-adjacent or production ML workflows
• Strong proficiency in Python with a track record of writing maintainable, modular production code
• Solid experience with SQL, including queries, joins, indexing, and performance optimization
• Proven experience owning and operating data pipelines or model training/serving pipelines in production environments
• Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration)
• Strong collaboration skills for working with data scientists, researchers, and cross-functional partners

Preferred Qualifications

• Experience working on ML systems in business-critical environments like pricing, forecasting, or marketplaces
• Familiarity with MLOps tools such as MLflow, Airflow, Spark, or Delta Lake
• Experience with model serving frameworks, feature stores, or experiment tracking
• Experience monitoring model performance (e.g., drift detection, quality alerts)
• Experience with streaming/event-driven systems like Kafka
• Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS)

About the Company

Opendoor is building the modern system of homeownership, giving people the freedom to buy and sell homes on their own terms through an end-to-end online experience.