Machine Learning Engineer, Detection and Tracking
Core
Own detection and tracking models for AI-powered drone software platforms, training, tuning, and deploying them on edge platforms against US-specific datasets.
Role type
Senior IC machine learning engineer (detection and tracking)
Builds
Detection and tracking models integrated into the Altra drone software platform
Domain
Defense / Autonomous Drones / Computer Vision
Deliverable
production ML models
Required skills
Object detection model training (YOLO, DETR, Faster R-CNN), Multi-object tracking implementation (SORT, DeepSORT, ByteTrack), Model optimization for edge deployment (quantization, pruning, TensorRT, ONNX), Data curation and annotation management, Python, PyTorch, Security clearance handling
Preferred skills
Rust or C++ for deployment, Infrared/thermal imaging sensor experience, MLOps tooling (MLflow, Weights & Biases), Synthetic data generation, GPU-accelerated embedded platforms (NVIDIA Jetson)
Technologies
YOLO, DETR, Faster R-CNN, SORT, DeepSORT, ByteTrack, TensorRT, ONNX, PyTorch, Python, MLflow, Weights & Biases, CVAT, Label Studio, NVIDIA Jetson
Responsibilities
Train and fine-tune detection models on mission-specific datasets, Implement and improve multi-object tracking pipelines, Evaluate model performance and diagnose failure modes, Manage the data pipeline end-to-end including annotation and augmentation, Optimize models for SWaP-constrained embedded platforms, Collaborate with systems engineers to integrate models into the Altra platform
Seniority
Senior, hands-on IC