Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

The mission for the Computer Vision team at Facebook AI is to innovate ways for machines to understand photos and videos and provide the metadata, tools and platforms for hundreds of product groups. We are a cross-functional organization of Engineers and Research Scientists working closely with Product Managers, Designers and Data Scientists to push the frontiers of AI research and shipping the technologies to billions of people through Facebook's family of apps and new hardware initiatives. We are looking for a Director of Software Engineering with both research experience as well as experience in shipping technologies to real products.

• Lead multiple teams developing video understanding technologies
• Collaborate with Video product teams and develop technology strategy for video understanding
• Coordinate with other AI organizations like FAIR and AI Infra to build strong research and system bridges
• Continue to grow the research and engineering culture and grow the organization

• Ph.D or equivalent research experience in AI specifically in the areas of Computer Vision, Speech, and/or NLP
• 5+ years of people management experience in multi-disciplinary global teams at the intersection of research and product, including building performing teams and organization
• 5+ years of experience supporting an engineering and research organization through technical leadership
• Demonstrated experience in recruiting and managing technical teams, including performance management
• Leadership and interpersonal communication experience in working across many disciplines, drive best practices, and mentor team members

• Experience leading a team to ship version one consumer software products
• Having multiple research publications and citations
• Experienced at working with PM, Design and Analytics
• Experience managing teams productizing Computer Vision or AI/Machine Learning technologies from conception to end