Manager - Machine Learning Engineering

Opendoor Technologies Inc.•San Francisco, CA

72d•$205,000 - $253,600•Hybrid

About The Position

Opendoor's mission is to make buying and selling a home as easy as the click of a button. We've transformed a complex, stressful process into a simple and transparent experience through data science, pricing models, and operational excellence. Our teams are building the modern real estate platform that empowers homeowners and buyers nationwide. We're looking for a hands-on, strategic leader to drive our Pricing & Machine Learning team. This role is focused on building and scaling the machine learning ecosystem that powers our industry-leading pricing engine. You'll lead a team of 5-9 engineers and collaborate closely with product and business leaders to deliver ML systems that directly influence Opendoor's revenue, customer experience, and pricing accuracy.

Requirements

3+ years of people management experience leading ML engineering teams.
8+ years of experience in ML or software engineering, including production deployment.
Proven success delivering ML systems that directly influence revenue or customer experience.
Strong understanding of backend architecture fundamentals (APIs, microservices, data pipelines).
Deep knowledge of ML engineering practices: training, evaluation, versioning, monitoring, retraining.
Familiarity with cloud-based ML stacks (AWS, GCP, Azure) and modern ML Ops tooling.
Excellent cross-functional communication and collaboration skills.

Nice To Haves

Experience with experimentation frameworks and causal inference.
Prior experience in pricing, financial modeling, or marketplace systems.
Track record of influencing product and business strategy through ML innovation.

Responsibilities

Lead, mentor, and grow a high-performing team of ML engineers.
Own the design, delivery, and optimization of ML systems supporting revenue-critical business functions (e.g., pricing, risk, recommendations).
Partner with Product, Data Science, Backend Services, and Infrastructure teams to define priorities and integrate ML solutions into production.
Drive best practices in ML development, deployment, and lifecycle management.
Maintain a high technical bar and ensure consistent operational excellence across the team.
Contribute to the long-term technical vision for Opendoor's ML infrastructure and platforms.