Senior Manager, Machine Learning Engineering
** San Francisco CA or Seattle WA office (work from office 4 days per week) **
About the Role:
Opendoor is on a mission 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. Our team uses data science, pricing models, and operational excellence to build a modern real estate platform that empowers homeowners and buyers nationwide.
We are seeking a hands-on leader to drive our Pricing & ML team, focused on building and scaling the machine learning ecosystem at the heart of our industry-leading pricing engine. This role is ideal for a hands-on, strategic leader with a track record of managing ML engineers and delivering production-grade solutions that directly impact revenue. You’ll lead a team of 5-9 engineers, drive project execution, and collaborate cross-functionally with product and business leaders to launch and refine experiences on the critical path of our multi-billion dollar per annum deal flow.
What you’ll Do:
- Lead, mentor, and grow a team of machine learning engineers (~ 8).
- Own the design, delivery, and optimization of ML systems that support high-stakes, revenue-critical business functions (e.g., pricing, risk, recommendations, tail-management).
- Partner closely with Product, Data Science, Backend Services, and Infrastructure teams to define priorities, shape roadmaps, and ensure seamless integration of ML solutions.
- Drive best practices in ML development, model monitoring, deployment, and lifecycle management.
- Maintain a high technical bar and ensure consistent operational excellence across your team.
- Contribute to the long-term technical vision for the unique ML infrastructure and systems required in real estate.
What you’ll Need:
- Proven leadership experience managing ML engineering teams, ideally in a fast-paced or high-growth environment.
- 3+ years of people management experience, including hiring, coaching, and performance management.
- 8+ years of industry experience in software engineering or machine learning, with significant experience deploying ML models into production.
- Experience delivering business-critical ML systems that directly influence revenue or core customer experience.
- Strong cross-functional communication skills with the ability to translate technical solutions into business outcomes.
- Solid understanding of backend architecture fundamentals (e.g., APIs, micro-services, data pipelines) and how ML integrates within these systems.
- Deep knowledge of ML engineering practices, including model training, evaluation, versioning, monitoring, and retraining strategies.
- Experience working with cloud-based ML stacks (e.g., AWS, GCP, Azure ML) is desirable.
- Familiarity with modern ML Ops practices and tooling.
- Prior experience with experimentation frameworks and causal inference a plus.
Compensation
The base pay range for this position is $205,000.00 - $253,600.00 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.
JR 9080
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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 OpennessWe 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].
Top Skills
What the Team is Saying
What We Do
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and confusing. It often comes with unexpected costs, the added burden of coordinating multiple third parties and the uncertainty of a transaction falling through. Our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds and talents across engineering, operations, design, operations, mortgage, finance, legal, and more to deliver strong results. More than 85,000 customers have selected us as a trusted partner in handling one of their largest financial transactions.
Why Work With Us
We’re on a mission to power life’s progress one move at a time
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Employees engage in a combination of remote and on-site work.
