Machine Learning Engineer (Detect & Track Distillation)
Core
Distill large foundation models into optimized, task-specific components for target detection, classification, and re-identification on edge/embedded systems.
Role type
Senior IC machine learning research engineer (model distillation & edge AI)
Builds
Efficient detection models for autonomous defense systems on embedded hardware
Domain
Defense / Computer Vision / Edge AI
Deliverable
production ML models
Required skills
knowledge distillation, model compression, quantization (PTQ/QAT), pruning, LoRA, target detection architectures, re-identification, MLOps, GPU compute, embedded system deployment
Preferred skills
research in computer vision and quantization, experience with Jetson or custom NPUs
Technologies
PyTorch, TensorFlow, ONNX, Docker, Kubernetes, MLflow, Weights & Biases
Responsibilities
Compress and distill foundation models for specific detection tasks; optimize neural networks for constrained embedded hardware; build and manage training and MLOps pipelines; curate task-specific datasets; benchmark model performance and latency; research cutting-edge quantization methodologies; collaborate with system engineers and mission intelligence teams
Seniority
Senior, hands-on IC with mentorship potential
