In the AR/VR organization at Facebook, we are an AI organization building experiences for communication, contextual social coordination, and sharing. The team is behind M Suggestions on Messenger and Portal. We're focused on building human-like, personalized understanding of the relationships between entities in the world and the user. This allows us to build experiences on our AR and VR platforms that are natural and delightful. We assist you at the right place, at the right time. We're looking for an experienced Engineering Manager with a proven track record of developing and shipping high quality ML-powered applications to join us! As an Engineering Manager supporting Knowledge Graph efforts within AR/VR, you'll coordinate and manage a team responsible for building the core ML modeling pipelines needed to build a comprehensive understanding of the world, combined with Facebook's social graph, to deliver great user experiences. The ideal candidate is an experienced software engineer and manager with a background in machine learning, knowledge graphs, or data science; and is passionate about the future of AR/VR and contextual assistance.
* Manage and support an engineering team responsible for foundational machine learning systems that build Facebook's Knowledge Graph
Set technical direction and define success metrics across Facebook-wide teams
Identify opportunities to share technology with AI efforts at Facebook
Identify and manage partnership opportunities with internal cross-functional partners
Partner with product visionaries to deliver innovative user experiences in AR/VR and beyond
Evangelize technical solutions, frameworks, and best practices across the team and org
* 5+ years of work experience as a software engineer in machine learning, knowledge graphs, or data science
5+ years of experience directly managing a team of software engineers
Experience shipping multiple products across various platforms
Experience recruiting and managing technical teams, including performance management
Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa
Bachelor's degree in Computer Science, Mathematics, or related field
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