Roblox is Hiring for Machine Learning Engineer Intern (PhD – Recommendation Systems) | San Mateo, CA
Internship20-30 LPAMore than 0 yearPosted: 3 Apr 2026
About Company
Roblox is a global platform where millions of users come together to create, play, and explore immersive 3D experiences. It empowers developers and creators to build virtual worlds and connect with a massive global audience across devices.
Role Overview
This internship is focused on building advanced recommendation systems and solving real-world problems using machine learning at scale. It’s best suited for PhD students who want to apply research in areas like generative AI, search, and large-scale systems to real products used by millions.
Responsibilities
Work on machine learning models for recommendations, search, and discovery systems
Build prototypes and run experiments on large-scale datasets
Apply research ideas (like generative models or multimodal AI) to real-world systems
Collaborate with engineering teams to deploy ML solutions into production
Solve complex problems related to ranking, retrieval, and content understanding
Contribute to improving user experience across the platform
Qualifications & Skills
Currently pursuing or recently completed a PhD in Computer Science, Engineering, or related field
Strong programming skills in languages like Python, C++, Java, or similar
Experience working with machine learning models and large datasets
Understanding of distributed systems and scalable architectures
Research experience with published work in recognized conferences or journals
Must-haves
Deep knowledge of machine learning and recommendation systems
Strong coding skills and ability to build scalable solutions
Experience in conducting research and implementing it practically
Ability to work on complex technical challenges independently
Comfortable working with large-scale data and systems
Nice-to-have
Experience in generative AI, multimodal models, or LLMs
Knowledge of ranking systems, auctions, or marketplace optimization
Background in search systems or content discovery platforms
Prior experience with production-level ML systems
Perks & Benefits
High-paying internship (around $72/hour)
Opportunity to work on systems used by millions globally
Access to massive datasets and real-world experimentation
Hybrid work setup (onsite + flexibility)
Work alongside top researchers and engineers
Exposure to cutting-edge problems in AI and distributed systems
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