# Research Engineer - Data Infrastructure/ML at Thirddimension

- Company: Thirddimension
- What the company does: Third Dimension is building spatial generation to power tomorrow's embodied AI and enable new frontiers of creativity in gaming and entertainment. Backed by Felicis.
- Company website: https://thirddimension.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: United States - Remote
- Work setup: Remote
- Posted: 2025-10-17
- Apply by: 2026-10-08
- Apply: https://jobs.gem.com/third-dimension/am9icG9zdDo8foQfIfm9Jv2WHVV6KCdz
- Page: https://www.1752.vc/careers/jobs/thirddimension-research-engineer-data-infrastructure-ml/

## About the role

We’re looking for a Data Infrastructure / ML Engineer to build the backbone of our 3D AI systems. You’ll design scalable pipelines for 3D, video, image, and other sensor data (e.g., LIDAR) and develop the ML workflows that power SuperSim. Your work will enable our researchers to train, validate, and deploy models faster - ultimately shaping how robots and autonomous systems are tested in the real world.

## What they're looking for

- Strong programming background in Python
- Proficiency in distributed data-processing technologies (e.g., Ray, Apache Spark, Flyte, Dask)
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and distributed training frameworks (Ray, RLLib, PyTorch DDP, or Horovod)
- Knowledge of dataset versioning, experiment tracking, and reproducibility tools (DVC, MLflow, etc.)