Join our team
The Ceyeborg team is a cohesive mix of experts, each bringing diverse talents and specialized skills to the table. Our collective expertise enables us to provide comprehensive, end-to-end AI systems – from the design and construction of inspection stations, to optimizing the sensor setup, developing and training the AI algorithms, deploying them on-site, and connecting them to on-site custom ECUs and database solutions. Our multidisciplinary team ensures every project achieves unparalleled success and innovation.
JOIN US IN TRANSFORMING INDUSTRIES WITH
ADVANCED AI AND COMPUTER VISION SOLUTIONS.
At Ceyeborg GmbH, we specialize in pushing the boundaries of artificial intelligence and computer vision technologies to revolutionize industrial automation. Our company is dedicated to developing cutting-edge solutions that enhance efficiency, precision, and reliability in manufacturing and quality control processes.
Open Positions
Ceyeborg GmbH operates at the intersection of hardware and software, leveraging advanced AI algorithms and custombuilt hardware to solve complex challenges in diverse industrial sectors. Our team comprises talented individuals from diverse backgrounds who are united by a common goal: to deliver exceptional end-to-end AI solutions tailored to the unique needs of our clients.
Join us at Ceyeborg GmbH and embark on a journey where your skills and creativity will contribute to shaping the futureof industrial automation. Explore opportunities to work with state-of-the-art technologies, collaborate with industry experts, and make a meaningful impact on the forefront of AI-driven innovation.
MIXED SENSOR MODALITIES AND LIGHT EXPERT (F/M/X)
Location: Remote (Laboratory location: Woerthsee)
Duration: Part-time (Minijob)
Responsibilities
- Investigate Mixed Sensor Modalities:
- Research and analyze various sensor modalities suitable for quality inspection systems.
- Evaluate the integration of different sensor types (e.g., vision cameras, infrared sensors, depth sensors) to optimize data collection and enhance inspection accuracy.
- Conduct experiments to compare and contrast sensor performance under different environmental conditions and production scenarios.
- Optimize Light Choices for Quality Inspection Systems:
- Investigate lighting techniques and configurations (e.g., dark field illumination, structured lighting, polarized lighting) suitable for quality inspection.
- Design experiments to evaluate the impact of different lighting setups on the visibility of surface features and defect detection.
- Develop methodologies to optimize lighting conditions for varying production environments and materials.
- Documentation and Reporting:
- Maintain detailed records of experimental procedures, data collected, and outcomes.
- Prepare comprehensive reports summarizing findings, including recommendations for sensor modalities and lighting configurations.
- Present findings to the project team and stakeholders, highlighting key insights and potential implementation strategies.
Requirements
- Background in Electrical Engineering, Computer Science, Physics, or related fields.
- Familiarity with sensor technologies and imaging systems.
- Hands-on experience with experimental design and data analysis.
- Strong problem-solving skills and attention to detail.
- Effective communication skills in English; German proficiency is a plus.
Benefits
- Opportunity to work in a dynamic research environment at the forefront of AI and quality inspection technologies.
- Hands-on experience with state-of-the-art sensor modalities and lighting techniques.
- Flexible working hours suitable for students or individuals seeking part-time employment.
Application
Interested candidates should submit their CV, transcripts, and a brief cover letter outlining their relevant experience and motivation for the role.
DATA SCIENTIST FOR AI TRAINING PIPELINE (F/M/X)
Location: Remote (Laboratory location: Woerthsee)
Duration: Part-time (Minijob)
Responsibilities
- Data Analysis: Analyze and interpret complex datasets to extract meaningful insights and patterns.
- Data Preparation: Clean, sort, and prepare large datasets for training AI models.
- Active Learning: Optimize active learning strategies to enhance the training process for specific use-cases and deployment environments.
- Anomaly Detection: Develop and integrate anomaly detection algorithms to ensure data quality and reliability.
- Collaboration: Work closely with the AI research and development team to ensure data integrity and readiness for training.
- Documentation: Maintain comprehensive documentation of data processes, algorithms, and analysis results.
Requirements
- Background in Data Science, Machine Learning, Computer Science, or related fields.
- Extensive knowledge of active learning methodologies.
- Expertise in anomaly detection algorithms and techniques.
- Proficient in programming languages such as Python, R, or similar.
- Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong problem-solving skills and attention to detail.
- Effective communication skills in English; German proficiency is a plus.
Benefits
- Opportunity to work in a dynamic research environment at the forefront of AI and quality inspection technologies.
- Hands-on experience with state-of-the-art sensor modalities and lighting techniques.
- Flexible working hours suitable for students or individuals seeking part-time employment.
Application
Interested candidates should submit their CV, transcripts, and a brief cover letter outlining their relevant experience and motivation for the role.