Responsibilities
- Build and train production ML models for pricing, automation, and business-critical decision systems.
- Convert research prototypes into clean, testable, production-ready code and systems with researchers and analysts.
- Own model pipelines end-to-end, including data ingestion, training, validation, versioning, deployment, and monitoring.
- Design and evolve mission-critical services and APIs connecting ML systems to messy real-world operations.
- Build platforms for agentic research, automated retraining, experimentation, deployment, and monitoring.
- Address sparsity, data drift, model decay, and other challenges in volatile real-world markets.
- Use AI tools in daily work and help advance their application to ML engineering.
- Lead technical design reviews, mentor teammates, and improve engineering quality.
Requirements
- Senior-level or above experience shipping and operating production ML systems, ML-adjacent services, or data/ML platforms.
- Strong Python fundamentals and the ability to learn additional programming languages or tools.
- Proficiency in statistics and the ability to reason about distributions and real-world ML monitoring.
- Expertise across the ML lifecycle, including training, evaluation, deployment, monitoring, and iteration.
- Experience with associated tooling such as MLflow, Airflow, Spark, and Delta Lake.
- Ability to make and communicate architectural and technical tradeoffs across stakeholders.
- Based in or willing to relocate to Miami, Toronto, or Seattle.
- Preferred experience includes ML systems in pricing, forecasting, logistics, marketplaces, or risk.
- Preferred experience includes streaming and event-driven systems, Kafka, gRPC, Redis, or workflow engines.
- Interest in real estate or other messy, high-stakes domains with imperfect data.
Benefits
- The role is based in or requires relocation to Miami, Toronto, or Seattle.
- The interview process typically includes a recruiter screen, a technical deep dive, and two pairing-style technical reviews.
Tech Stack
Categories
About Opendoor
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. The traditional real estate process is broken and our goal is simple: fix it. We are building 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 to support more than 250,000 customer transactions across 50 markets in the U.S. But the work is far from over. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight-knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. For more information, please visit www.opendoor.com Keep up with latest Opendoor news and reports: https://linktr.ee/opendoorhq