As Senior Director of Engineering for Creator Content, reporting to the VP of Engineering of our Creator organization, you will work closely with executive leadership, product, policy, and operations teams across Roblox. Your charter will be to build our Creator Content organization that is the central system for all content created in Roblox, and provides content interoperability across our ecosystem, safe, reliable and smart delivery to our customers, content understanding, and AI-assisted content generation for users and creators on the platform.

You are passionate about data and how to make the complex simple in regards to UGC/IP content in all forms; video, audio, music, art, image, code, and more.

You will:

• Lead the development of our content management systems, incorporating UGC and IP content for all media sources. Your teams will use AI/ML to model and create predictive algorithms to understand, define and label content.
• Iterate existing and prototype new algorithms and work with engineering to integrate into our code base, content marketplace, and search and discovery systems.
• Work with company executives to identify specific and actionable opportunities to solve existing business problems through content understanding, and in collaboration with engineering, product and business teams.
• Enable our Safety and Economy teams to build safety and content deduplication systems.
• Work with our Studio team and creators to support AI-assisted and more traditional content generation services.
• Influence how Roblox works with its players and its platform developers to accelerate creator velocity
• Hire and lead a stunning team of ML and full stack engineers.

You have:

• You have experience with the complexities of UGC content, and understand the value of both in-depth, qualitative, and web-scale, quantitative data working together to build a deep understanding of different forms of content.
• A leader that has experience and demonstrated success in leading and building high-caliber teams with diverse technical strengths and more importantly are experienced in developing leaders and fostering an inclusive team culture.
• Strong knowledge of machine learning algorithms (supervised and unsupervised learning)/models, techniques to predict, natural language processing and computational social science.
• Bachelor’s degree in a quantitative field such as math, statistics, and computer science, or equivalent years of experience