Senior ML Engineer, 3D Data & Generative AI

Roblox Corporation; San Mateo (CA); On-site; USD 212,000 - 295,000; Full time

Job summary

Roblox Corporation seeks a Senior Machine Learning Engineer to architect data pipelines and scalable infrastructure for 3D data synthesis and evaluation. You will partner with researchers to scale datasets and build robust tooling for production ML workflows, enabling high-quality data for foundation models in creative AI.

The role emphasizes data engineering at scale, cross-functional collaboration, and maintaining efficient, observable systems for large datasets and model training.

Qualifications

• 5+ years of experience as a research-focused data systems engineer.
• Skilled in building scalable ML data pipelines for very large datasets (PBs).
• Proficient in Python for automation, tooling, and infra management.
• Strong collaborate/leadership abilities and ownership of features.
• Bachelor's degree in CS, CE, or similar technical field.

Responsibilities

• Architect and maintain automated pipelines for ingestion, cleaning, and pre-processing of 3D datasets.
• Research and implement synthetic data creation pipelines.
• Collaborate with ML Engineers and Data Scientists to streamline data workflows.
• Build and own evaluation frameworks and human-in-the-loop interfaces.
• Design and optimize high-throughput, low-latency inference APIs.
• Participate in literature reviews to identify latest optimizations in generative modeling.
• Implement monitoring and optimize data loading to maximize GPU efficiency.

Skills

Python Proficiency

Data Pipelines

Distributed Systems

Generative AI

3D data

Education

Bachelor's degree (CS/Engineering)

Tools

Weights & Biases (W&B)

MLflow

Job description

Roblox Corporation seeks a Senior Machine Learning Engineer to architect data pipelines and scalable infrastructure for 3D data synthesis and evaluation. You will partner with researchers to scale datasets and build robust tooling for production ML workflows, enabling high-quality data for foundation models in creative AI.

The role emphasizes data engineering at scale, cross-functional collaboration, and maintaining efficient, observable systems for large datasets and model training.