Roblox
Senior Machine Learning Engineer (Systems), Embodied AI/NPCs, ML Platform - PhD Early Career
San Mateo, CA, United States · Senior · Full-time
H1B sponsorship available$197k-$243kDetected 7 days ago
AWSGCPAzureKubernetesMachine LearningDeep LearningData EngineeringLLMsStatisticsResearch
About the role
- Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.
- For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below.
- The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand.
Responsibilities
- Develop Scale Data Pipelines: Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform.
- Optimize Real-Time Inference: Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments.
- 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.
- Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale.
- Optimize our inference engine to serve millions of QPS at low latency.
- Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability.
- The Machine Intelligence team is building an NPC system that can (1) play any Roblox game and (2) perform real-time inference efficiently enough to support deployment to all Roblox players.
- Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform.
- Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments.
Requirements
- Experience with novel datasets, and building real-world agentic applications.
Compensation
- $196,750 - $243,290 USD
- Therefore, in some circumstances, the actual salary could fall outside of this expected range.
- This pay range is subject to change and may be modified in the future.
- Annual Salary Range
Benefits
- 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.
- All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- As a Senior Machine Learning Engineer, you will be a key contributor to building the cutting-edge systems that power AI at Roblox.
- Train Novel Architectures: Solve the feature extraction across games for NPC model in a general and scalable way and drive model training speed for novel, sophisticated deep learning architectures.
Company info
- We are seeking exceptional
Visa & Work Authorization
- For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
This listing is sourced directly from Roblox's careers page and normalized into a canonical job model.