Senior Machine Learning Engineer, 3D Data
Core
Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of massive 3D datasets to support foundation models for 3D generative AI.
Role type
Senior Machine Learning Engineer (Data Infrastructure)
Builds
High-scale data orchestration pipelines, synthetic data generation tools, and evaluation frameworks for 3D content.
Domain
Generative AI, 3D Data, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, distributed systems, large-scale data processing (Petabytes), data pipeline architecture, synthetic data generation, evaluation framework design, API architecture, C++ (preferred)
Preferred skills
MLOps, data versioning, human-in-the-loop workflows, game engines (Roblox Studio, Blender, Unreal, Unity)
Technologies
Python, C++, distributed systems frameworks, experiment tracking platforms (Weights & Biases, MLflow)
Responsibilities
Architect automated pipelines for ingesting and pre-processing petabytes of 3D data; research and implement synthetic data creation pipelines; build tooling to bridge research prototypes to production; design scalable evaluation frameworks with human-in-the-loop interfaces; optimize high-throughput inference APIs; implement monitoring and resource efficiency for GPU usage.
Seniority
Senior, hands-on IC with technical leadership