Machine Learning Engineer (Detect & Track Distillation)

Build and distill large foundation models into efficient, task-specific components for target detection, classification, and target re-identification. Optimize neural networks for constrained edge and embedded hardware using quantization, pruning, and LoRA, and develop end-to-end training and MLOps pipelines with strong reproducibility and logging. Drive benchmarking and evaluation against real-world latency and performance needs while collaborating with system and mission intelligence teams.