Senior Machine Learning Engineering Manager, Text Safety

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.

Why Safety AI Systems?

As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for language and text content safety. You'll oversee machine learning systems, data quality, training pipelines, and model performance to address challenges like real-time content understanding across Roblox's experiences and advanced moderation with large language models, spanning chat, comments, usernames, game descriptions and other generative text content.

In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences.

You Will

• Own the roadmap and execution of machine learning solutions for the Language Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale.
• Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent.
• Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step.
• Architect and guide the development of large-scale language models with innovative architectures, ensuring they achieve high quality and are production-ready.
• Drive alignment on complex technical decisions across multiple teams, demonstrating empathy and building consensus among diverse stakeholders.
• Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for language safety initiatives.
• Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating safety approaches to anticipate new challenges.

You Have

• 5+ years of experience building large-scale machine learning systems in production environments.
• Proven track record of designing, developing, and launching ML models from scratch into production.
• 2+ years of hands-on experience with language models or other foundation model technologies.
• Experience with LLM evaluation, LLM post-training, agentic workflows in production environments, or Trust & Safety.
• Expertise in solving complex ML modeling, data, and infrastructure challenges at scale.
• Ability to thrive in ambiguity and bring clarity to undefined or open-ended problem spaces.
• Demonstrated success collaborating across functions to drive meaningful business and user impact.
• Strong product sense, including establishing clear success metrics and crafting strategic roadmaps.
• High emotional intelligence, with the ability to resolve conflicts, mentor engineers, and nurture team growth.
• Experience with modern microservice architectures and distributed systems programming paradigms.
• Hands-on ability to dive into code and architecture and guide technical discussions.

You Are

• A creative and strategic problem-solver.
• An owner who takes responsibility for projects and outcomes end-to-end.
• A lifelong learner.
• Independent and self-directed.
• Highly collaborative and skilled at building consensus.
• Committed to diversity and inclusion.
• Passionate about cutting-edge ML technology and applying it to keep users safe.

For roles that are based at our headquarters in San Mateo, CA, the actual base pay is dependent upon professional background, training, work experience, location, business needs, and market demand. All full-time employees are also eligible for equity compensation and benefits.

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday unless otherwise noted.

Roblox provides equal employment opportunities and reasonable accommodations during the recruiting process. For US-based roles, the company may not be able to employ candidates with work authorization related to certain U.S. visa categories or support future H-1B sponsorship at this time.