Computer Vision Software Engineer

Our Data Enrichment team is, dedicated to improving the searchability and usability of image data for AI training and simulation. Our mission is to generate rich, descriptive metadata that captures the semantics of various road scenarios, providing invaluable insights for algorithm developers.

Be a part of a dynamic team that's making a significant impact in the field of artificial intelligence. Together, we are shaping the future of Autonomous Mobility by ensuring that the data behind our features it is as insightful and accessible as possible.

Responsibilities

• Develop and implement computer vision algorithms to analyze and interpret images, generating accurate and comprehensive semantic metadata.
• Design and maintain machine learning models for image recognition, object detection, and classification.
• Conduct thorough testing and validation of computer vision systems to ensure reliability and accuracy.
• Optimize and scale computer vision algorithms for real-time performance and deployment.
• Stay up-to-date with the latest advancements in computer vision and machine learning technologies, incorporating best practices into the development process.
• Analyze and process large datasets, ensuring data quality and consistency.
• Contribute to the development of tools and pipelines to streamline the generation and management of semantic metadata.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
• Proven experience in computer vision and image processing, with a strong portfolio of relevant projects.
• Proficiency in Python and libraries such as OpenCV, TensorFlow, PyTorch, or similar frameworks.
• Solid understanding of machine learning concepts and techniques, particularly in the context of computer vision.
• Experience with deep learning architectures, such as convolutional neural networks (CNNs) and other relevant models.
• Strong analytical and problem-solving skills, with the ability to work with complex and ambiguous datasets.
• Familiarity with data annotation tools and techniques for generating high-quality training datasets.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with diverse teams.
• Experience with cloud platforms (e.g., AWS, Google Cloud) and containerization (e.g., Docker) is a plus.
• Strong organizational skills and the ability to manage multiple projects and priorities effectively.

Additional information

• Competitive compensation and a wide range of benefits, including:
  • Bonus system
  • Annual flexible benefit (Cafeteria)
  • Private health insurance
  • Employee discounts
  • Sport pass support
• Continuous development with access to numerous trainings, including technical skills, soft skills and language skills
• Personal career development and a challenging role with end-to-end responsibility
• Opportunity to see your ideas turn into reality with our test vehicles
• Ability to directly deliver software into real, innovative products
• Easily accessible office location.

Ready to drive with Continental? Take the first step and fill in the online application.