Senior Machine Learning Engineer-Perception
MotionalFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science, Robotics, Deep Learning, or a related field, with at least 3 years of focused experience in perception, including sensing, preprocessing, detection, and tracking. Proficiency in Python, C++, and ROS2 is required, along with the ability to work autonomously. A PhD in a relevant discipline and experience developing CUDA kernels are preferred.
The Senior Software Engineer will be responsible for training, deploying, and monitoring 2D/3D object detection models using Camera, LiDAR, and Radar data. They will also build and maintain data collection, labeling, and evaluation pipelines, manage a proprietary multi-modal dataset for training and evaluation, and architect a deterministic secondary perception system. Additionally, the engineer will mentor junior engineers on best practices.
Digital solutions for aviation industry businesses
AeroVect provides digital solutions tailored for the aviation industry. Their platform, built using JavaScript, suggests a focus on web and app development, likely offering services that cater to airlines, airports, and other aviation-related businesses. AeroVect's products may include software for managing aviation data, enhancing operational efficiency, or improving customer experiences. Unlike many competitors, AeroVect may emphasize customizable solutions and consulting services, allowing clients to adapt the technology to their specific needs. The company's goal is to support the aviation sector by delivering effective digital tools that streamline operations and enhance service delivery.