Machine Learning/Computer Vision Engineer at Parallel · Los…

Summary: Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation. They are seeking a Machine Learning / Computer Vision Engineer to develop perception systems that power their autonomous platform, focusing on real-world computer vision problems and multi-sensor data. Responsibilities: - Training and improving deep learning models for perception tasks including detection, segmentation, tracking, and scene understanding - Developing scalable training pipelines for large perception datasets - Working with multimodal sensor data including cameras, lidar, and radar - Evaluating and adapting state-of-the-art research for real-world deployment - Improving inference performance and model reliability under real-world conditions - Supporting deployment of perception models to edge compute systems on autonomous vehicles Required Qualifications: - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a closely related technical field - 1 to 2 years of experience building machine learning systems or exceptional new graduates with strong internships or research experience - Experience developing machine learning models using PyTorch or TensorFlow - Strong programming ability in Python - Solid mathematical foundation in linear algebra, probability, and optimization - Experience working with real-world datasets in computer vision, robotics, or machine learning Preferred Qualifications: - Internship experience at leading technology, robotics, autonomy, or AI companies - Research experience in machine learning, computer vision, or robotics labs - Experience with perception tasks such as object detection, segmentation, tracking, or 3D vision - Experience working with image, video, lidar, or radar datasets - Familiarity with training pipelines, dataset tooling, and model evaluation - Experience with C++, CUDA, or GPU optimization - Publications or academic research in ML/CV venues such as CVPR, ICCV, ECCV, NeurIPS, or ICML Required Skills: Machine Learning, Computer Vision, Deep Learning Important Skills: PyTorch, TensorFlow, Python, Linear Algebra, Probability, Optimization Nice-to-Have Skills: C++, CUDA, GPU Optimization, Research Experience