Senior Machine Learning Engineer, 3D Data

San Mateo, CA · San Mateo · USD 212,490-295,250 / year · 5+ years experience · Full-time · Onsite · Posted Sep 28, 2026

At a glance

As a Machine Learning Engineer on the Foundation AI organization, you will architect the data flywheel that enables 3DGen.
You will design, implement, and scale high-performance infrastructure to crawl, create, curate, store, and serve massive 3D datasets for foundation models.
The role involves partnering with AI researchers to bridge the gap between research prototypes and production-scale systems.

Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of petabyte-scale 3D datasets.
Research and implement synthetic data creation pipelines.
Collaborate with ML Engineers and Data Scientists to build tooling and troubleshoot data-related system issues.
Build and own evaluation frameworks, including heuristic-based metrics and human-in-the-loop interfaces.
Design and optimize high-throughput, low-latency Inference APIs for internal and external access.
Participate in literature reviews to identify and implement optimizations in generative modeling.
Implement monitoring for pipeline health and optimize data loading for GPU efficiency.

5+ years of experience as a research-focused data systems engineer.
Expertise in building scalable ML data pipelines for batch and real-time environments.
Experience processing very large datasets (Petabytes or more).
Proficiency in Python for automation, tooling, and infrastructure management.
Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field.
Passion for generative AI, particularly in 3D/4D content domains.

Experience with experiment tracking platforms like Weights & Biases or MLflow.
Experience managing versioning for massive-scale datasets.
Proven track record of developing internal human-in-the-loop workflows and annotation tooling for 3D or video data.
Strong C++ proficiency for low-level optimization of data-loader performance.
Hands-on experience with Roblox Studio, Blender, Unreal Engine, or Unity.