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.
Requirements
- Expertise beyond basic LoRA or full-parameter fine-tuning to implement Reinforcement Learning from Compiler Feedback (RLCF) and Domain-Specific Distillation.
- Ability to fine-tune models to understand the unique constraints of the Roblox Luau language, internal APIs, and proprietary high-performance engine architecture.
- Experience architecting infrastructure that enables continuous learning from human-corrected diffs to maintain model superiority over general-purpose standards.
Additional Information
- Roles based at headquarters in San Mateo, CA are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
- Roblox provides equal employment opportunities and prohibits discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
- Roblox provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
