Senior Machine Learning Engineer
Core
Develop and deploy machine learning models for perception systems to combat vehicle and content theft using sensor data.
Role type
Senior Machine Learning Engineer (perception systems)
Builds
Production-grade ML applications for training, evaluation, and inference on large-scale sensory datasets
Domain
Automotive security, AI sensing, signal processing
Deliverable
production ML models
Required skills
Python, deep learning frameworks (PyTorch/TensorFlow), C/C++ for edge deployment, classical ML algorithms (SVMs, HMMs, Decision Trees), neural networks (CNNs, transformers), dynamic object tracking, sensor fusion, Unix-based environments, signal processing (Fourier Transform, filtering)
Preferred skills
Model compression (quantization, pruning), cloud platforms (AWS/GCP), MATLAB, Docker
Technologies
PyTorch, TensorFlow, ONNX, C/C++, Linux, macOS, AWS, GCP, MATLAB, Docker
Responsibilities
Design and deploy robust ML models for production security applications; develop full ML lifecycle from problem definition to monitoring; establish best practices in ML architecture and CI/CD; perform advanced exploratory data analysis on sensory datasets; stay ahead of industry advancements in AI sensing and signal processing; mentor junior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
