Hiring: Staff Machine Learning Engineer Company: XPENG Location: Santa Clara, CA Job Posted Time: 2026-09-03 03:28:52 Employment Type: Full-time Target Skills & Keywords : C++, Computer Vision, Data Pipeline, Deep Learning, Machine Learning, Make, ONNX, PyTorch, Python, R, TensorFlow, TensorRT, TestNG About the job Experience: •3-5 years of strong hands-on experience with •5 years of strong hands-on experience with Required Skills: •Machine Learning Engineer / Computer Vision Engineer •Traffic Sign Recognition (TSR) 2D detection •For production autonomous driving systems. •Be responsible for the full lifecycle of TSR model development, including •Scenario analysis, data preparation, model training, evaluation, optimization, quantization, and deployment •. You will work closely with perception, data, infrastructure, and deployment teams to improve traffic sign detection performance across diverse real-world driving scenarios. •This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception models from offline training to onboard production systems. •Develop and improve Qualifications: •Master’s, or PhD degree in Computer Science, Electrical Engineering, Robotics, Computer Vision, Machine Learning, or a related field. •3-5 years of strong hands-on experience with •Practical experience utilizing detection architectures such as •YOLO, Faster R-CNN, DETR/Deformable DETR, RT-DETR, RTMDet •And deep learning frameworks such as •Solid understanding of object detection training workflows, including dataset preparation, augmentation, loss functions, evaluation metrics, and model debugging. •Practical experience utilizing common detection metrics such as •MAP, precision/recall, false positive/false negative analysis •Strong data analysis and problem-solving skills. Compensation: •$215,280 - $364,320 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!