Intelletec
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Overview
Director of Engineering, Machine Learning
at a mission-driven organization rethinking how people connect. This is a high-leverage role for a leader who can drive both strategy and execution at the intersection of machine learning, product innovation, and user experience. Responsibilities
Lead the development of intelligent, data-driven systems that enhance personalization, recommendations, and marketplace efficiency. Manage and grow a team of 15+ ML and software engineers, including senior individual contributors and engineering managers. Work closely with cross-functional teams in Product, Data Science, and Design to deliver innovative, user-centric solutions. Define and scale processes around model experimentation, deployment, and monitoring. Help shape the organization’s approach to AI and GenAI, including the role of agentic experiences. Cultivate an engineering culture grounded in technical excellence, mentorship, and mission alignment. What We’re Looking For
Strong background in applied machine learning, particularly within multi-sided platforms or recommendation systems. Demonstrated success leading engineering large teams through growth and organizational change. Proven experience delivering high-impact ML products and infrastructure at scale. Ability to balance deep technical thinking with product and business insight. Strong communicator and collaborator across diverse technical and non-technical teams. Committed to building inclusive, equitable teams where engineers can thrive. Nice to Have
Familiarity with foundational models, RAG, or vector-based search. Experience working within regulated or international environments.
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Director of Engineering, Machine Learning
at a mission-driven organization rethinking how people connect. This is a high-leverage role for a leader who can drive both strategy and execution at the intersection of machine learning, product innovation, and user experience. Responsibilities
Lead the development of intelligent, data-driven systems that enhance personalization, recommendations, and marketplace efficiency. Manage and grow a team of 15+ ML and software engineers, including senior individual contributors and engineering managers. Work closely with cross-functional teams in Product, Data Science, and Design to deliver innovative, user-centric solutions. Define and scale processes around model experimentation, deployment, and monitoring. Help shape the organization’s approach to AI and GenAI, including the role of agentic experiences. Cultivate an engineering culture grounded in technical excellence, mentorship, and mission alignment. What We’re Looking For
Strong background in applied machine learning, particularly within multi-sided platforms or recommendation systems. Demonstrated success leading engineering large teams through growth and organizational change. Proven experience delivering high-impact ML products and infrastructure at scale. Ability to balance deep technical thinking with product and business insight. Strong communicator and collaborator across diverse technical and non-technical teams. Committed to building inclusive, equitable teams where engineers can thrive. Nice to Have
Familiarity with foundational models, RAG, or vector-based search. Experience working within regulated or international environments.
#J-18808-Ljbffr