About the job
The Engineering Acceleration AI Infrastructure Pod acts as Roblox’s center of excellence for applying AI to software engineering. We develop the Code Intelligence components of the Builder AI Platform, enabling first-party agents to automate engineering toil such as refactoring and unit test generation. As AI makes it possible to generate code at an unprecedented velocity, our team’s focus shifts from writing code to maintaining quality, safety, and performance at a planetary scale. We are building the reasoning layer and the 'Human-in-the-Loop' (HITL) gates that ensure this AI-driven evolution doesn't compromise the stability of a platform serving 100M+ daily active users.
Responsibilities
Architect the Reasoning Layer and design systems that allow agents to navigate a billion-line codebase with high precision.
AI Workload Optimization: Ensure our AI infrastructure is performant and cost-effective as it scales to become our primary compute driver.
Lead New Techniques: Develop new methods for synthetic data generation and agent evaluations that outperform current industry benchmarks.
Qualifications
Minimum
No minimum qualifications listed.
Preferred
Beyond 'Off-the-Shelf': We are looking for an expert who can move past basic LoRA or full-parameter fine-tuning to implement Reinforcement Learning from Compiler Feedback (RLCF) and Domain-Specific Distillation.
Code-Specific Optimization: The goal is to fine-tune models to understand the unique constraints of the Roblox Luau language, our internal APIs, and our proprietary high-performance engine architecture.
Continuous Learning Loops: Architecting the infrastructure that allows our models to 'learn' from every human-corrected diff, ensuring our internal models stay ahead of general-purpose industry standards.