Frontier Tech Temporal Jobs

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of

statements and turning them into practical, working software systems Prior research or project experience in autonomous driving, robotics, or spatial-temporal

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of

Improvements must survive temporal holdouts, new populations, changing environments, and prospective outcomes.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of

You will: Research and develop novel visual and spatio-temporal reasoning methods for multimodal Perception Foundation

Develop high-resolution vision architectures and spatial-temporal transformer backbones.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of

We prefer: AV/Robotics experience, especially perception (detection, classification, tracking) Experience with transformer or temporal

Work across our stack: Temporal workflows, Kubernetes, Nomad Clusters, sandboxed execution environments.

Evaluate government-provided datasets to identify meaningful physical, temporal, behavioral, and operational relationships.

Evaluate predictions using calibration, proper scoring rules, ranking quality, selective prediction, temporal validity, subgroup performance, and

Responsibilities: Architect, develop, and integrate novel data science and AI/ML solutions (e.g., spatio-temporal ML, data fusion

models (vision-language, audio, speech) from scratch and from pretrained checkpoints Extend models across modalities: image understanding, video temporal