Machine Learning/Computer Vision Engineer

Develop perception systems for autonomous platforms. Train and improve deep learning models for detection, segmentation, and tracking. Build scalable training pipelines for large perception datasets. Work with multimodal sensor data (camera, lidar, radar) for real-time inference. Collaborate with autonomy, robotics, and systems teams to deploy models on vehicles. Evaluate state-of-the-art methods for real-world deployment. Bachelor’s or Master’s degree in CS/Robotics/ML/EE. 1–2 years building ML systems; internships or research welcome. Experience with PyTorch or TensorFlow. Strong Python programming; knowledge of C++ and GPU optimization (CUDA). Solid math background: linear algebra, probability, optimization. Experience with CV/robotics datasets and perception tasks. Equal opportunity employer; inclusive and diverse environment. Opportunity to contribute to autonomous transportation platform.