Machine Learning Engineer

Overview As a Senior ML Engineer at Opendoor, you will build and deploy models that power pricing, risk, and decision systems in production. You’ll collaborate with researchers and analysts to turn prototypes into robust, production-ready code and systems. You’ll own end-to-end model pipelines and design mission-critical services that connect AI to real-world operations. You’ll work in a fast, high-trust environment to push AI tooling and ML lifecycle improvements at scale. Responsibilities Build and train production models for pricing, automation, and decision systems Collaborate with researchers/analysts to convert prototypes into production-grade code Own end-to-end model pipelines: data ingestion, training, validation, versioning, deployment, monitoring Design and evolve mission-critical services and APIs interfacing with real-world operations Develop platform to accelerate the full ML lifecycle: research, retraining, experimentation, deployment, monitoring Address real-world challenges like sparsity, data drift, and model decay in volatile markets Utilize AI tools daily and push capabilities further in the industry Lead technical design reviews, mentor teammates, and raise overall quality Key requirements Senior-level or above with production ML systems experience Strong Python fundamentals Proficiency with statistics and distributional reasoning for real-world ML monitoring End-to-end ML lifecycle expertise and tooling (MLflow, Airflow, Spark, Delta Lake)Ability to communicate design decisions and tradeoffs across stakeholders Based in or willing to relocate to Miami, Toronto, or Seattlehigh agencyownership and accountabilityclear communication Python StatisticsML lifecycle tooling (MLflow, Airflow, Spark, Delta Lake)