Opendoor · 21 hours ago
Software Engineer, MLOps - Pricing (L4)
Seattle, Washington, United States
Full-time
Onsite
Senior Level, Lead/Staff
$205K/yr - $281K/yr
8+ years expOpendoor is a company focused on transforming the homeownership experience, and they are seeking a Senior Software Engineer for their Pricing & ML team. The role involves leading the design and implementation of services and workflows that support machine learning models and pricing strategies, while collaborating closely with various teams to enhance the pricing platform.
MarketplaceProperty DevelopmentProperty ManagementPropTechReal Estate
Responsibilities
Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models
Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems
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, complex datasets
Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases)
Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments
Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain
Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing & ML team
Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work
Participate in and help improve on-call and incident response processes for ML systems
Qualification
Required
8+ years of experience in software engineering or 6 Years with a Masters or ML engineering, including substantial work with ML-adjacent or production ML workflows
Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code
Solid experience working with SQL (queries, joins, indexing, and performance optimization)
Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments
Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration)
Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders
Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners
A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain
Preferred
Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk)
Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries)
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
Benefits
Unlimited PTO
Medical/dental/vision insurance
Life insurance
401(k)
Company
Opendoor
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time.
1001-5000 employees
H1B Sponsorship
Opendoor has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (11)
2023 (18)
2022 (31)
2021 (24)
2020 (14)
Funding
Current Stage
Public CompanyTotal Funding
$2.57BKey Investors
Jane Street CapitalGeneral AtlanticSoftBank Vision Fund
2025-09-24Post Ipo Equity· $362M
2025-05-19Post Ipo Debt· $325M
2023-09-20Post Ipo Secondary· $1.98M
Leadership Team
Kaz Nejatian
Chief Executive Officer
Christy Schwartz
Chief Financial Officer
Recent News
2026-01-23
2026-01-23
Company data provided by crunchbase