About the Role
At Opendoor, pricing is at the core of our product — our models directly influence high-stakes decisions around real estate transactions across the country. We are looking for a mid-level Software Engineer to join our Pricing & ML team. This is a unique opportunity to work side-by-side with applied researchers and modelers to build and productionize the machine learning models that power our pricing engine.
This role is perfect for an engineer who is excited to deepen their exposure to ML workflows. Our models are pragmatic and straightforward, and we care more about delivering value and reliability than optimizing hyperparameters or building complex research systems. You’ll collaborate closely with researchers, bringing their ideas into production and contributing to the full ML lifecycle — experimentation, training, evaluation, deployment, monitoring, and iteration.
What You’ll Do
- Work closely with researchers and analysts to assist the development of pricing models, and convert prototypes into robust, production-grade code.
- Own and operate model pipelines end-to-end — including training, validation, versioning, deployment, and monitoring.
- Contribute to shared ML infrastructure and tooling as needed, while staying focused on solving business-critical problems.
- Support day-to-day pricing model operations and address real-world ML lifecycle challenges like retraining, data drift, and model decay.
- Navigate real estate-specific ML challenges (heterogeneous data, complex seasonality, sparse regions, high financial stakes).
- Drive engineering best practices within the ML codebase — maintainable, testable, and scalable systems.
Tech Stack
- Languages: Python
- ML: PyTorch, scikit-learn, MLflow
- Data & Infra: Databricks, Spark, Delta Lake, Airflow, AWS
What You'll Need
- Has 2–4 years of experience in software engineering, ideally with exposure to machine learning workflows.
- Enjoys working closely with data scientists and researchers and has strong collaboration and communication skills.
- Is comfortable navigating data pipelines, model training pipelines, and production environments.
- Is fluent in writing maintainable, modular, and testable Python code.
- Is motivated by impact and learning — not just building infrastructure for others.
Bonus Points For
- Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics).
- Familiarity with tools like MLflow, Airflow, Delta Lake, or Spark.
- An interest in real estate or other messy, high-stakes domains with imperfect data.
- Experience monitoring model performance in production (e.g., drift detection, quality alerts).
Compensation
The base pay range for this position is $143,200-$179,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
About us…. Powering life’s progress, one move at a time
Since 2014, we’ve been reinventing life’s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain.
We’re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it’s starting a family, taking a new job, or making a life change, we help people move forward with confidence.
This work isn’t easy, and it’s not for everyone. But if you want to be part of a team that’s tilting the world in favor of people who want to sell, buy, or own a home then you’ll find purpose here.
Opendoor Values Openness
We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.
We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.
At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at TAops-accomodations@opendoor.com.