Roblox
Consumer · Gaming platform
- HQ
- San Mateo, US
- Founded
- 2004
- Size
- 2,500+
- Funding
- Public (RBLX)
- Website
- roblox.com
- Blog
- corp.roblox.com
Products
Consumer · Gaming platform
Currently tracking 37 active AI roles, with 65 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$458k (avg $293k).
Roblox currently has 53 active job listings related to artificial intelligence. The majority of these roles, 57%, are focused on agents, with serving infrastructure and data also representing significant areas of hiring. Engineering roles are the most frequent, accounting for nearly half of the open positions. The company is actively seeking expertise in areas such as model serving, inference infrastructure, and agent orchestration.
Roblox currently has 54 active AI-related roles in our index. The most common open titles are: [2026] Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career (2), Design Engineer, Director of Engineering, Economy ML, Director, Engineering — Engineering Acceleration, Distinguished Engineer, Machine Learning Systems – Economy. Most positions are in Engineering and Product.
Roblox's active AI hiring is concentrated in: agents (54%), serving infrastructure (19%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Roblox is hiring AI talent in: United States (54 roles).
Job postings at Roblox most frequently mention: Machine Learning, Software Engineering, Computer Graphics, Distributed Systems, System Design.
In the past 30 days, Roblox has posted 13 new AI-related roles. That is a -38% change versus the prior 30 days (21 → 13).
| Title | Stage | AI score |
|---|---|---|
| Senior Data Scientist - Machine Intelligence (Creator Services) Senior Data Scientist on the Creator Services team at Roblox, focusing on Machine Intelligence. This role involves bridging engineering infrastructure and ML applications, transforming unstructured data (text, images, video) into actionable insights and user-facing products. The position is a "zero-to-one" environment, requiring the creation of new data formats and analytical frameworks to drive creator success and platform sustainability through ML. Responsibilities include leading ML-driven transformation, modeling unstructured data, owning data workflows end-to-end, designing causal frameworks for experiments, and translating technical wins into business value. | Post-trainAgent | 8 |