Senior Machine Learning Engineer - PhD Early Career

About the role

At Roblox, we believe advanced research belongs in production, driving core algorithmic advances at a global scale. In this role, you’ll own high-impact projects end-to-end, from initial ideation to production deployment and academic publication, while solving complex, high-dimensional challenges at world-scale concurrency.

Your expertise, across research areas including Computer Vision and Graphics, multimodality, NLP, or recommendation systems, will directly shape the experience for millions of daily active users. Come build the AI-driven infrastructure powering the future of immersive entertainment.

You Will

• Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale.
• Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges.
• Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems.
• Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users.
• Work backward from user and product needs to architecture, and deliver ML solutions that improve platform engagement, safety, and content ecosystem growth.

You Have

• Possess or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.
• Deep expertise and curiosity in a relevant technical domain, such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
• Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.
• A strong research track record, evidenced by multiple publications and presentations in rigorous peer-reviewed venues.

You may redact age, date of birth, and dates of attendance/graduation from your resume.

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