Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, the position is fully remote.
Candidates must have a Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field, 5+ years of focused experience in architecting and deploying 2D/3D object detection models, experience with the entire perception stack (sensing, preprocessing, detection & tracking), Python proficiency, and the ability to lead projects autonomously.
This information is not specified in the job description.
AeroVect is a Series A company transforming ground handling with autonomy, backed by top-tier venture capital in aviation and autonomous driving, serving major airlines and ground handling providers.
A strong candidate has a PhD in Computer Science, Robotics, or a related field and publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, or AAAI, in addition to meeting the required qualifications.
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.