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Senior Manager - Machine Learning Engineering

Opendoor

$236,800 - $325,600
Sep 26, 2025
Remote, US
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Opendoor is seeking a Senior Manager, Machine Learning Engineering to lead their Pricing & ML team. The goal is to build and scale the machine learning ecosystem for their pricing engine, which is critical for their multi-billion dollar deal flow. The role aims to improve revenue through the development and optimization of ML systems for pricing, risk, and recommendations.

Requirements

  • Proven leadership experience managing ML engineering teams.
  • 3+ years of people management experience, including hiring, coaching, and performance management.
  • 7+ years of industry experience in software engineering or machine learning.
  • Experience delivering business-critical ML systems that directly influence revenue or core customer experience.
  • 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.
  • Experience working with cloud-based ML stacks (e.g., AWS, GCP, Azure ML).
  • Familiarity with modern MLOps practices and tooling.

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.
  • Deploy ML models into production.

Other

  • Lead, mentor, and grow a team of 5–9 machine learning engineers.
  • Partner closely with Product, Data Science, Backend Services, and Infrastructure teams to define priorities, shape roadmaps, and ensure seamless integration of ML solutions.
  • 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.
  • Strong cross-functional communication skills with the ability to translate technical solutions into business outcomes.
  • 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.
  • 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 are committed to Diversity, Equity, Inclusion, and Belonging
  • Opendoor is dedicated to creating an inclusive and collaborative culture.
  • We value the diverse strengths, perspectives, and backgrounds of all our employees, and believe in empowering our teams to do their best work through teamwork and building a sense of belonging and trust.
  • Our four employee-led Opendoor Employee Resource Groups amplify diverse voices and promote collaboration and inclusion.
  • Our focus is on attracting and retaining exceptional talent, and we believe in empowering our employees to continuously innovate and strive for 1% improvement every day.
  • We are committed to assisting members of the military community in utilizing their skills at Opendoor.
  • 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.