Technical Director - AI Roblox Studio

Roblox•San Mateo, CA

2d•$399,420 - $457,970•Onsite

About The Position

Roblox Studio is the creation engine behind millions of immersive 3D games built by creators around the world. We are entering a major platform transition, evolving Studio into an AI-Native IDE where intelligent systems plan, act, validate, and iterate alongside creators to amplify their output. We are seeking a Technical Director, Applied AI to own the technical direction of the agentic AI systems embedded deeply into Roblox Studio. This is a hands-on individual-contributor role operating at the intersection of platform engineering, AI systems, and developer experience, where you will set the technical direction, design the architecture, and write the code.

Requirements

12+ years of engineering experience, including ownership of large-scale, long-lived platforms.
Deep, hands-on experience building LLM-powered and agentic systems in production, beyond chat-based interfaces.
Strong systems and software engineering skills, with the ability to design the architecture and write the code.
A track record of defining evaluation frameworks for AI product quality, combining automated metrics with human review, and optimizing inference for latency, throughput, and cost.
Strong background in developer tools or IDE-like platforms, with a proven ability to set technical direction and raise quality across multiple teams as an individual contributor.
An innovative technical leader who wants to build the AI systems that power the creativity of millions.
Product-minded, with a real understanding of developer needs, creator workflows, and how AI systems land in the user experience.
Adaptable and curious, with good judgment about when to build, when to reuse, and when to push a need back to a model team.
Able to operate at the deepest technical levels and still communicate direction clearly to partners.

Nice To Haves

Background in coding models or code-generation systems, and/or research experience in reinforcement learning (RLHF, RLAIF, preference modeling) or related model-training techniques.

Responsibilities

Design and build the agentic AI systems at the core of the AI-Native IDE (planning, execution, validation, evaluation) so they are production-grade and reliable.
Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow.
Own the quality bar and evaluation strategy, standing up quantitative and qualitative eval pipelines, including human-in-the-loop, so we ship with confidence.
Optimize these systems for latency, throughput, and cost (caching, routing, distillation, quantization).
Bring reusable patterns and best practices to teams across Studio, raising the applied-AI fluency of Studio engineering.