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. 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 Opendoor

Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple and certain. 

• To learn how we are reinventing the Real Estate industry check out our website. 
• Hear about our culture directly from team members by visiting The Muse. 
• Discover what we are building for our customers by reading our blog.

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’re committed to Diversity, Equity, Inclusion, and Belonging

Opendoor is dedicated to creating an inclusive and collaborative culture. We value the diverse strengths, perspectives, and backgrounds of all our employees, and believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust. Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion. Our focus is on attracting and retaining exceptional talent, and we believe in empowering our employees to continuously innovate and strive for 1% improvement every day. You can find more information on our Career Page.

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.