Machine Learning Engineer

Want to be part of transforming road freight – for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals. Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting. We are growing our team and looking for a skilled and passionate Machine Learning Engineer specialized in multi-modal perception systems for autonomous driving applications. The ideal candidate has strong software engineering skills and experience in designing, developing and transitioning R&D solutions into final products. You will: Research and develop state-of-the-art machine learning/deep learning models and architectures to advance our perception stack Develop machine learning solutions and deep neural networks to address self-driving challenges such as multi-modal sensor fusion, object detection and classification, scene understanding, tracking and behaviour modelling Set up automated training pipelines and drive performance improvements Integrate, validate, and deploy production-ready solutions Collaborate with other members in the Perception organization to continuously improve the perception stack Collaborate closely with experts from System Engineering, Localization, Planning, and other teams to build a safe, deployable systems. We expect you to have: Strong technical background: PhD or highly qualified MS in one of the following: Robotics, Computer Science, Artificial In