Sr Machine Learning Engineer - Safety Experience

Roblox • San Mateo, CA

83d • $192,890 - $238,520

About The Position

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. 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 Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action.

Requirements

• MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field
• Solid fundamentals in Computer Vision and Deep Learning
• Experience with the full ML lifecycle, including training, deployment, and continuous monitoring
• Experience with similarity detection and/or digital watermarking, including developing and re-training embedding models, including multi-modal models
• Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems

Nice To Haves

• Experienced in the safety, integrity, or content moderation domain
• Familiar with large-scale content understanding problems (e.g., text, image, video classification)
• Experienced with cloud-based ML platforms and infrastructure

Responsibilities

• Work on implementation of machine learning solutions for safety-related systems
• Help to foster a culture of technical excellence and inclusivity
• Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
• Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
• Facilitate challenging technical decisions, demonstrating empathy and finding common understanding
• Collaborate with cross-functional teams to execute on ML-based problems

Benefits

• Equity compensation
• Health insurance
• Paid time off
• Flexible work schedule

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree