AI/ML Engineer

Your role

• Work on cutting-edge AI technologies that power future ADAS and automated driving systems
• Apply state-of-the-art machine learning and computer vision techniques to real-world automotive challenges
• Gain hands-on experience with large-scale datasets, modern AI frameworks, and production-oriented development workflows
• Collaborate with experienced researchers and engineers in a highly innovative international environment
• Explore emerging areas such as foundation models, multi-modal learning, behavior prediction, and automated parking
• Develop both research and engineering skills while contributing to products deployed in customer vehicles

• Master's degree (or close to completion) in Computer Science, Machine Learning, Computer Vision, Robotics, Electrical Engineering, Mathematics, Physics, or a related field
• Strong analytical and problem-solving skills with a solid foundation in mathematics, statistics, and machine learning
• Good understanding of machine learning fundamentals and deep learning concepts
• Academic, internship, research, or project experience in one or more of the following areas:
  
  
  • Computer vision (detection, segmentation, tracking, 3D perception)
  • Deep learning techniques (CNNs, Vision Transformers, foundation models)
  • Sequential or temporal modeling and processing
  • Representation learning, self-supervised learning, or generative AI
  • Multi-modal learning
• Hands-on experience with Python and at least one modern ML framework (preferably PyTorch)
• Experience implementing, training, or evaluating machine learning models through coursework, research projects, internships, or personal projects
• Ability to read and understand scientific literature and translate research ideas into practical implementations
• Good communication skills in English

• Experience through internships, thesis work, research projects, open-source contributions, competitions, or personal projects related to AI/ML
• Knowledge of perception, prediction, planning, robotics, or autonomous systems
• Experience with multi-sensor processing (camera, radar, lidar, IMU)
• Familiarity with large language models, vision-language models, or foundation models
• Experience with model optimization, deployment, or efficient inference
• Knowledge of C++ and software engineering best practices
• Exposure to cloud-based or large-scale training environments
• Familiarity with automotive, ADAS, autonomous driving, or robotics applications
• Contributions to scientific publications, patents, open-source projects, or technical competitions
• Experience working with Git, CI/CD, and collaborative development workflows

• Private health care (Signal Iduna) and Life insurance for you and your beloved ones
• Well-Being Program that includes regular webinars, workshops, and networking events
• Hybrid work (min. 47 days/yr of remote work, flexible working hours)
• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
• Access to sports groups and Multisport card