Senior Machine Learning Engineer-Perception
MotionalFull Time
Senior (5 to 8 years)
Candidates should possess a Master's or PhD in Computer Science, Robotics, Deep Learning, or a related field, with over 5 years of dedicated experience in architecting and deploying 2D/3D object detection models. Proficiency in Python and experience with the entire perception stack, including sensing, preprocessing, detection, and tracking, are essential. Preference is given to candidates with a PhD and publications in major AI conferences.
The Staff Software Engineer will architect 3D object detection models, including multi-modal approaches using camera, LiDAR, and Radar. Responsibilities include building and maintaining data collection and evaluation pipelines, developing a proprietary multi-modal dataset for training and evaluation, and training, deploying, and monitoring 2D/3D object detection models in production. The role also involves experimenting with state-of-the-art models' performance and mentoring 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.