Software Engineer ML Pricing

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. Youll collaborate closely with researchers bringing their ideas into production and contributing to the full ML lifecycle experimentation training evaluation deployment monitoring and iteration.

What Youll 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 Youll Need

• Has 24 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 positionis $143200-$179000 annually plus RSUs and bonuses. Paywithin this range varies by work locationand may also depend on your qualifications job-related knowledge skillsand 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 lifes progress one move at a time

Since 2014 weve been reinventing lifes 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.

Were a team of problem solvers innovators and operators building the largest most trusted platform for residential real estate. Whether its starting a family taking a new job or making a life change we help people move forward with confidence.

This work isnt easy and its not for everyone. But if you want to be part of a team thats tilting the world in favor of people who want to sell buy or own a home then youll 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 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