Principal Machine Learning Engineer, Account Identity

RobloxSan Mateo, CA
81d$289,460 - $338,270

About The Position

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world.

Requirements

  • MS or PhD degree in Computer Vision, Deep Learning, or a related field
  • 8+ years of industry experience in Applied ML specifically related to facial identity/safety domain
  • Experience in launching computer vision models into production
  • Solid fundamentals in Computer Vision and classification problems

Nice To Haves

  • Experience with facial recognition and/or deepfake detection
  • Passion and Experience in anti-abuse / integrity/security domain

Responsibilities

  • Lead 0-1 secure, efficient, reliable and high precision age estimation product including both facial and behavioral features
  • Develop innovative detection approaches in a rapidly evolving landscape
  • Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities
  • Bring industry best practices and innovative research in computer vision, multi-model data fusion and big data expertise
  • Up-level the ML team while also effectively collaborating with software engineers

Benefits

  • Equity compensation
  • Health insurance
  • Flexible work schedule
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