Senior Machine Learning Engineering Manager

Roblox • San Mateo, CA

3h • Hybrid

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.
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 content and communication safety. You’ll oversee machine learning systems, improving data quality, training pipelines, and model architectures to address challenges like real-time text filtering and advanced content moderation with large language models.
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.

Requirements

• 8+ 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 large language models or other foundation model technologies.
• Expertise in solving complex ML, data pipeline, 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 mindset: a willingness to dive into code/architecture reviews and guide technical discussions when needed, in addition to high-level planning.

Nice To Haves

• Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact.
• An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team.
• A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact.
• Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations.
• Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus.
• Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute.
• Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI (e.g. NLP and LLMs) and excited to apply these technologies to keep users safe.

Responsibilities

• Own the vision, technical direction, and execution of machine learning solutions for the Text 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 text and communication safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
• Stay ahead of emerging trends in AI (NLP, LLMs, etc.) and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed