Software Engineer - ML Ops - Pricing (Mid Level) presso Opendoor
Opendoor · Seattle, Stati Uniti d'America · On-site
- Ufficio in Seattle
Software Engineer – ML Ops, Pricing
Seattle, WA
About the Team & Role
The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business. Our services and data infrastructure are mission-critical to pricing decisions and automation, and they must be fast, accurate, and resilient—because even small improvements can drive major business impact.
We’re looking for a mid-level Software Engineer to join our Pricing & ML team, focused on building the platform and tooling that productionize the machine learning models behind our pricing engine. This role is ideal for an engineer who enjoys working close to data and models and wants to deepen their exposure to ML workflows. Our models are pragmatic and straightforward—we prioritize value, reliability, and iteration speed over complex research systems.
In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems. You’ll see your work move from design to deployment quickly, and you’ll have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.
What You’ll Do
- Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code
- Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring
- Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration
- Develop and optimize data access patterns and SQL queries over large datasets
- Implement tooling and automation for key ML lifecycle workflows (e.g., retraining, rollbacks, A/B testing, canary releases)
- Support day-to-day pricing model operations and address challenges like data drift, model decay, and changing market conditions
- Contribute to shared ML infrastructure and tooling while staying focused on solving business-critical pricing problems
- Help improve the reliability, observability, and performance of our ML pipelines and model-serving environments
- Participate in code reviews, technical discussions, and on-call/incident response related to ML systems
What You’ll Need
- 3+ years of experience in software engineering or ML engineering with exposure to ML workflows
- Strong proficiency in Python, with experience writing maintainable, modular, and testable code
- Experience working with SQL (queries, joins, indexing, and basic optimization)
- Comfort navigating data pipelines, model training pipelines, and production or near-production environments
- Familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring)
- Strong collaboration and communication skills, especially when working with data scientists and researchers
- Motivation to learn, to work close to the ML lifecycle, and to deliver tangible business impact
Nice to Have
- Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces)
- Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking)
- Experience with tools such as MLflow, Airflow, Spark, or Delta Lake
- Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards)
- Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools
- Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS)
- Interest in real estate or other messy, high-stakes domains with imperfect data
Compensation
The base pay range for this position is $156,000-$215,000 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.
#LI-RO
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 [email protected].
