Senior Manager, Machine Learning Engineering

Salary: $236,800.00 - $325,600.00 annually, plus RSUs and bonuses.

Location Type: [Information Not Provided]

Employment Type: [Information Not Provided]

Position Overview

We’re seeking a Senior Manager, Machine Learning Engineering to lead our high-impact Pricing & ML team. This team is 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.

Responsibilities

• Lead, mentor, and grow a team of 5–9 machine learning engineers.
• 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.

Requirements

• 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.
• 7+ 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, microservices, data pipelines) and how ML integrates within these systems.
• Deep knowledge of ML engineering practices, including model training, evaluation, versioning, monitoring, and retraining strategies.

Nice to Have

• Experience working with cloud-based ML stacks (e.g., AWS, GCP, Azure ML).
• Familiarity with modern MLOps practices and tooling.
• Prior experience with experimentation frameworks and causal inference a plus.

Compensation & Benefits

• Base Pay: $236,800.00 - $325,600.00 annually.
• Additional Compensation: RSUs and bonuses.
• Benefits Package: Comprehensive package including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
• Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.

About Opendoor

Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple and certain.

• To learn how we are reinventing the Real Estate industry check out our [website]([Information Not Provided]).
• Hear about our culture directly from team members by visiting [The Muse]([Information Not Provided]).
• Discover what we are building for our customers by reading our [blog]([Information Not Provided]).

Company Values & Commitment to Diversity

Opendoor Values Openness. We believe that being open about who we are and what we do allows us to be better.

Opendoor is an equal opportunity employer. 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.