About the job
The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems, and Generative AI Information Retrieval.
Responsibilities
Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox.
Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable.
Qualifications
Minimum
Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas.
Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation.
Expertise in one or more of the following key areas:
- AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs.
- LLMs - Fine tuning, Safety.
- Agentic systems - Agent evaluation, context engineering.
Experience building agentic applications with context for real world applications.
Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers.
Experience with graph databases and large-scale GNNs (Graph Neural Networks)
Experience working with Kubernetes
Experience working with one or more cloud providers (e.g., AWS, Azure, GCP)
Experience working with high availability systems
Experience working with ML models, LLMs or other AI systems
Preferred
No preferred qualifications listed.