Principal Machine Learning Engineer, Asset 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 were 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. Were 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 youll 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.

As a Principal Machine Learning Engineer for Content Safety you will define the future of proactive moderation driving immense social impact through cutting-edge innovative ML solutions focused on critical and ambiguous safety challenges.

You will set the3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning for content moderation. You will own the architectural and execution roadmap of massive-scale ML systems that mitigate violative UGC content before it impacts our community.

You will feel a deep sense of responsibility in proactively protecting our community thoughtfully and fairly while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for our broad community of over 100 million daily active users.

• Define and Own the Technical Vision: Define and lead the multi-year technical vision architectural strategy and execution for machine learning solutions in Content Safety ensuring these systems proactively and effectively detect and mitigate violative content at massive scale.
• Strategic Stakeholder Partnership: Collaborate with executive-level Product Data Science Policy and Operations leaders to define and prioritize the strategic machine learning roadmap influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes.
• Lead Innovation: Oversee the adoption and safe deployment of innovative machine learning techniques (e.g. transfer-learning self-supervised learning quantization LoRA distillation).
• Drive End-to-End Product Development: You will not just model; you will build. You will work cross-functionally to construct datasets from scratch where none exist build auto-labeling pipelines and ship solutions to solve novel technical problems.
• Ship Code Not Just Models: Expect to spend roughly 30-40% of your time on backend and integration work. You will be responsible for integrating your work into the production stack leveraging modern AI coding tools (e.g. Cursor) to accelerate velocity and handle infrastructure complexity

• 8 years of experience designing developing and operating large-scale high-impact machine learning systems in a production environment.
• A proven track record of successfully setting the long-term technical direction for an entire ML domain demonstrating the ability to take ambiguous problems from concept to scaled production impact.
• Deep expertise in advanced ML architectures and techniques including Computer Vision (CV) and/or Vision-Language Models (VLMs)
• Expertise in architecting scalable real-time ML inference services and robust data pipelines
• Demonstrated success in leading and resolving high-stakes cross-functional conflicts and technical disagreements with an ability to build consensus among diverse stakeholders.
• Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable iterative technical roadmap.

• A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear compelling and actionable technical strategy.
• A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress.
• Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces providing structure clarity and decisive direction to your teams.
• An Inspiring Leader: Passionate about developing the next generation of technical leaders managers and engineers.
• An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership.
• Committed to Ethical AI: Dedicated to building ML systems that are fair transparent and operate with the utmost responsibility toward user safety and platform civility.