TRACE Inc.
Context-aware orchestration between humans and AI.
Company facts
- Founded
- 2025
- Employees
- 3
- Headquarters
- United Kingdom
About
Trace is a workflow orchestration platform that gives agents shared context across systems and lets teams build visual processes combining AI and humans. It automatically identifies which tasks can be AI-automated and which need human input, so non-technical teams build and run workflows without engineering involvement.
Open positions
Machine Learning Engineer, Applied
Trace Labs builds data infrastructure for physical AI/robotics and needs an ML engineer to own models end to end: building training pipelines for multimodal data (video, sensor streams, language), evaluating, and shipping models into its annotation pipeline. Core stack is Python with a modern deep learning framework like PyTorch or JAX.
Software Engineer, Computer Vision
Senior computer vision engineer at Trace, an early-stage startup building training-data infrastructure for physical AI/robotics. Day to day you own the spatial perception layer of their data pipeline: camera/multi-sensor calibration, SLAM/VIO localization and mapping, pose estimation, and benchmarking to turn real-world sensor captures into reliable robotics training data.