[2026] Senior Machine Learning Engineer, Natural Language Processing

PhD Early Career | Roblox

On-siteOn-siteFull-time$180k – $280k / year

About this role

2026 Senior Machine Learning Engineer, Natural Language Processing - PhD Early Career | Roblox 2026 Senior Machine Learning Engineer, Natural Language Processing - PhD Early Career San Mateo, CA, United StatesEarly CareerID: 5434 Back to search results 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. Natural Language Processing (NLP) is central to enabling massive-scale communication, creation, and safety across the Roblox platform. This role offers the unique opportunity to build and deploy cutting-edge NLP, speech, and generative AI models that operate at an unprecedented scale, impacting hundreds of millions of daily users. You will solve an extremely diverse range of high-scale language-related problems—from real-time moderation of voice and text to automatically localizing experiences and empowering users through LLM-driven creation tools. We combine cutting-edge research with large-scale engineering to bridge experimentation and production, designing algorithms that shape the next generation of language services for our immersive, user-generated content platform. Teams Hiring for This Role - Safety AI Systems: Dedicated to building end-to-end ML systems for maintaining civility and safety across the platform, operating at ma

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