Senior Machine Learning Engineering Manager

Who you are

• 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, and bonus to have experiences on one or more of the following areas:
• LLM eval
• LLM post-training
• Agentic workflow in prod environment
• Trust & Safety
• 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
• 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/ML and excited to apply these technologies to keep users safe

What the job involves

• 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
• 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 (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 language 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