Senior Manager - Machine Learning Engineering

Summary

Join Opendoor as a Senior Manager, Machine Learning Engineering and lead the Pricing & ML team. You will build and scale the machine learning ecosystem for our pricing engine, leading a team of 5-9 engineers. Responsibilities include designing, delivering, and optimizing ML systems impacting revenue, partnering with cross-functional teams, and driving best practices in ML development. This role requires proven leadership experience managing ML engineering teams, 3+ years of people management, and 7+ years of software engineering or machine learning experience. A strong understanding of backend architecture and ML engineering practices is essential. The compensation includes a base pay range of $236,800.00 - $325,600.00 annually, RSUs, bonuses, unlimited PTO, and comprehensive benefits.

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

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

Preferred Qualifications

• 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

Benefits

• The base pay range for this position is $ 236,800.00 - $325,600.00 annually, plus RSUs and bonuses
• Unlimited PTO
• Medical/dental/vision insurance
• Life insurance
• 401(k)