Manager - Machine Learning Engineering

Senior Manager, Machine Learning Engineering
Location: San Francisco, CA or Seattle, WA (Hybrid – 4 days onsite per week)

 

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.

 

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.

 

Basic Qualifications

• 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.

 

Preferred Qualifications

• 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.

The base pay range for this position is $205,000 – $253,600 annually, plus RSUs and performance bonus. Pay within this range varies by location and depends on qualifications, skills, and experience.
We offer a comprehensive benefits package including: Unlimited PTO, Medical, dental, and vision insurance, Life insurance, 401(k) retirement plan.

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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 mi