Machine Learning Engineering Manager

Roblox is a global platform bringing millions of people together through immersive 3D experiences. 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 multimodal content safety.

• Own the vision, technical direction, and execution of machine learning solutions for the Multimodal 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.
• 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 machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready.
• Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), 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 multimodal safety initiatives.
• Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges.

• 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 vision language models or other foundation model technologies.
• Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale.
• Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces.
• Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact.
• Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals.
• High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members.
• Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines).
• Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning.

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