Director of Machine Learning & Artificial Intelligence

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Machine Learning & Artificial Intelligence based in United States. This is a senior technology leadership role responsible for shaping the strategy and direction of a high-impact Machine Learning and AI function. You will lead an established team of ML engineers while building the capabilities, leadership depth, and technical expertise needed for future growth. The role combines people leadership, technical strategy, innovation, and cross-functional organizational influence. You will partner closely with Engineering, Product, Research, and other technical and business teams to move ideas from experimentation into reliable production capabilities. A major focus will be responsible, secure, privacy-conscious, and operationally robust AI development involving sensitive datasets. You will also contribute to broader technology strategy, investment decisions, resource planning, and external technical representation. The environment is remote-first, mission-driven, collaborative, and designed for leaders who combine technical judgment with empathy and strong organizational leadership. Accountabilities - Technical strategy and innovation: Define and evolve the Machine Learning and AI strategy in partnership with senior technical and product leaders, assessing emerging technologies, research, customer needs, and opportunities to determine where to invest, build, partner, or experiment. - Innovation roadmap: Lead exploration, prototyping, validation, and de-risking of new ML and AI capabilities that can strengthen products, technical infrastructure, and long-term strategy.

- Responsible AI and governance: Ensure ML systems and practices meet expectations for privacy, security, responsible AI, regulatory compliance, reliability, and operational excellence, including appropriate oversight of sensitive datasets and external data partners. - Team leadership: Develop and expand a high-performing ML organization by recruiting, retaining, coaching, and empowering exceptional technical talent and developing future technical leaders. - Culture and performance: Establish clear expectations, provide constructive feedback, encourage psychological safety and healthy technical debate, and foster a culture of accountability, continuous learning, inclusion, and technical excellence. - Cross-functional collaboration: Build strong partnerships across ML, Engineering, Product, Research, Technical Program Management, and other teams to connect research, experimentation, product development, and production delivery. - Production execution: Partner with engineering leaders to ensure ML capabilities are scalable, reliable, secure, maintainable, and production-ready, with clear technical ownership and operating practices. - Organizational leadership: Establish priorities, operating rhythms, capacity plans, and resource allocation approaches that balance innovation with delivery, quality, cost, reliability, security, and long-term sustainability. - Strategic decision-making: Identify organizational and technical constraints, clarify tradeoffs, resolve competing priorities, and contribute to broader technology investment and planning decisions. - External representation: Represent the organization’s ML and AI work with customers, strategic partners, funders, conferences, advisory groups, and the wider technical community when appropriate. Requirements - Leadership experience: Significant experience leading Machine Learning, AI, Data Science, or related technical teams responsible for production capabilities at meaningful scale. - Technical expertise: Strong technical judgment across modern ML and AI, including the ability to evaluate architectural and technical tradeoffs and translate emerging research into practical capabilities.