About the company
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.
Responsibilities
- Define and evolve the Machine Learning and AI strategy in partnership with senior technical and product leaders
- Lead exploration, prototyping, validation, and de-risking of new ML and AI capabilities
- Ensure ML systems and practices meet expectations for privacy, security, responsible AI, regulatory compliance, reliability, and operational excellence
- Develop and expand a high-performing ML organization by recruiting, retaining, coaching, and empowering exceptional technical talent
- Establish clear expectations, provide constructive feedback, encourage psychological safety and healthy technical debate
- Build strong partnerships across ML, Engineering, Product, Research, Technical Program Management, and other teams
- Partner with engineering leaders to ensure ML capabilities are scalable, reliable, secure, maintainable, and production-ready
- Establish priorities, operating rhythms, capacity plans, and resource allocation approaches
- Identify organizational and technical constraints, clarify tradeoffs, resolve competing priorities
- Represent the organization’s ML and AI work with customers, strategic partners, funders, conferences, advisory groups
Requirements
- Significant experience leading Machine Learning, AI, Data Science, or related technical teams responsible for production capabilities at meaningful scale
- Strong technical judgment across modern ML and AI
- Deep understanding of AI/ML applications, content detection technologies, and software development
- Experience incorporating reliability, evaluation, monitoring, privacy, security, governance, and responsible AI principles into ML development and operations
- Demonstrated ability to recruit, develop, retain, and empower high-performing technical teams
- Ability to establish ownership, delegate effectively, set clear expectations, provide candid feedback
- Proven experience collaborating with Engineering, Product, Research, and other stakeholders
- Strong communication and presentation skills
- Ability to influence change, navigate ambiguity, make sound tradeoffs
- Empathy, humility, transparency, honesty, clarity, accountability
- Commitment to keeping the needs and safety of children at the center of technical and organizational decisions
Conditions
- Estimated annual compensation range of $188,000–$302,450
- Remote-first work: work primarily from home within a remote-first operating model
- Periodic travel may be required for organization-wide gatherings, team