Intelligence Lead Wildlife AI & Edge Systems
Core
Lead the intelligence layer of the Flox platform, designing and deploying ML models for real-time wildlife detection and behavior understanding on edge devices.
Role type
Senior IC machine-learning engineer (edge systems)
Builds
Computer-vision and bioacoustic ML models deployed on FloxEdge hardware
Domain
Wildlife conservation, edge AI, bioacoustics
Deliverable
production ML models
Required skills
Machine learning, computer vision, Python, PyTorch, TensorFlow, data pipeline management, model evaluation metrics, embedded inference optimization
Preferred skills
Bioacoustics, ecology, wildlife data, NVIDIA Jetson, quantization
Technologies
PyTorch, TensorFlow, NVIDIA Jetson
Responsibilities
Design, train, and deploy ML models for edge devices; own end-to-end data pipelines including curation and annotation; define and track model quality metrics; collaborate with hardware and product teams to ship models; support customer pilots with technical analysis; mentor engineers and analysts
Seniority
Senior, hands-on IC
