Senior ML Safety Lead — Multimodal AI

Society for AI Security; San Mateo (CA); Sur place; USD 260 000 - 380 000; Plein temps

Résumé du poste

Roblox is seeking a Senior Machine Learning Engineering Manager for Safety AI Systems to lead multidisciplinary ML teams responsible for safeguarding a global community. You will own the vision, design scalable multimodal safety solutions, and drive technical direction across Product, Policy, and Trust & Safety teams.

You'll mentor engineers, translate ambitious goals into actionable roadmaps, and push for production-ready architectures that balance user freedom with platform civility.

Qualifications

• 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.

Responsabilités

• 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, 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 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, ensuring alignment with broader Safety and Roblox objectives.
• Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges.

Connaissances

Large-scale ML systems

Production ML models

Vision-language models

Distributed systems

Outils

Cloud services

Data pipelines

ML frameworks

Description du poste

Roblox is seeking a Senior Machine Learning Engineering Manager for Safety AI Systems to lead multidisciplinary ML teams responsible for safeguarding a global community. You will own the vision, design scalable multimodal safety solutions, and drive technical direction across Product, Policy, and Trust & Safety teams.

You'll mentor engineers, translate ambitious goals into actionable roadmaps, and push for production-ready architectures that balance user freedom with platform civility.