Senior Applied AI Engineer (Multimodal Perception & Reasoning)

Build, fine-tune, and deploy production-grade multimodal models for safety and security, focusing on visual/video perception, language-assisted reasoning, and temporal understanding of real-world environments.
Own the full applied ML lifecycle—from data collection and labeling strategies to dataset curation, model fine-tuning, evaluation, and production deployment with monitoring and continuous improvement.
Drive performance in real-world conditions, optimizing precision/recall, reducing false positives/negatives, and ensuring robustness to noise, lighting changes, occlusion, and domain shift.
Optimize models for edge and cloud deployment, including quantization, pruning, model compression, latency, throughput, memory, and hardware-aware tuning for GPUs and edge accelerators.
Build and maintain scalable training and inference pipelines with reproducibility, versioning, and reliable production deployment, plus collaboration with infrastructure teams to integrate real-time pipelines.
Use deployment feedback and metrics to drive data and model improvements and deliver a durable competitive advantage in AI perception.