Founding Computer Vision / Machine Learning Engineer (m/f/d)

• Design, develop, and deploy computer vision systems for industrial textile inspection •
• Build object detection, segmentation, classification, and anomaly detection models using real-world manufacturing data •
• Train, evaluate, and optimize deep learning models using modern computer vision architectures •
• Develop image acquisition, preprocessing, augmentation, labeling, and validation pipelines •
• Build and maintain large-scale industrial image and video datasets collected from textile production environments •
• Develop multimodal AI systems combining visual data, machine events, sensor signals, PLC/SCADA data, and production metadata •
• Optimize models for edge deployment and real-time inference in industrial environments •
• Develop model monitoring, validation, and continuous learning workflows •
• Work directly with real-world manufacturing challenges including needle-related defects, elastane failures, oil stains, fabric distortions, shade deviations (ΔE), and machine-process anomalies •
• Collaborate with textile engineers and industrial partners to translate manufacturing problems into scalable AI solutions •
• Contribute to the architecture of NexTex AI’s edge-to-cloud industrial AI platform •
• Participate in pilot deployments and industrial validation projects with textile manufacturers and machine technology partners •
• Help define the long-term AI strategy, technical roadmap, dataset strategy, and product architecture of NexTex AI •

• Strong background in Computer Vision, Machine Learning, Artificial Intelligence, or related technical fields •
• Strong Python skills •
• Experience with PyTorch or TensorFlow •
• Experience with OpenCV •
• Understanding of object detection, image segmentation, anomaly detection, and classification •
• Experience training and evaluating deep learning models •
• Familiarity with Linux, Git, and collaborative software development •
• Strong analytical and problem-solving skills •
• Ability to work independently and take ownership of technical decisions •
• Entrepreneurial mindset and willingness to work in an early-stage startup environment •
• Fluent English Nice to Have •
• Experience with YOLO, Detectron2, Vision Transformers, Segment Anything, or anomaly detection frameworks •
• Experience with CUDA, Docker, Kubernetes, or GPU-based training environments •
• Experience with MLOps, model deployment, and production-grade ML systems •
• Experience with edge AI deployment and real-time inference •
• Experience with industrial AI, robotics, manufacturing, IoT, or automation-related projects •
• Previous startup experience

Benefits

• Founding team position from day one •
• Equity participation of up to 15%, depending on experience, commitment, and long-term involvement •
• Monthly compensation of approximately €2,500 through the German EXIST Startup Grant program •
• Full health insurance coverage through the EXIST funding program •
• Opportunity for increased compensation following successful completion of the EXIST funding phase and company financing milestones •
• Opportunity to grow into a future CTO or technical leadership role •
• Access to the Berlin startup ecosystem, including mentoring and support through the EXIST and PRO FIT funding programs •
• Direct access to pilot factories, industrial datasets, and machine manufacturers from day one •
• Collaboration with leading textile manufacturers and machine technology partners •
• Gym membership support •
• Flexible working arrangements, with Berlin preferred and Europe considered for exceptional candidates •
• High ownership, fast decision-making, and direct impact on company strategy and product development •
• Opportunity to build a category-defining Industrial AI company from the earliest stage