Computer Vision Intern (m/f/d)

Your Key Responsibilities

As a Computer Vision Intern, you will support our Data Science team in improving the quality and performance of our AI-powered road assessment technology.

• Maintain reliable data operations: Document datasets, maintain data quality standards, and support continuous improvements to our data processes, including maintaining relevant object databases.
• Build high-quality datasets: Explore our road image database, select relevant training images, and create balanced datasets across different road conditions, regions, and damage types.
• Improve data annotation quality: Review labeled images, identify systematic errors and inconsistencies, and collaborate with our annotation team to improve labeling guidelines and processes.
• Support model training: Use existing machine learning pipelines to train computer vision models and generate automated pre-annotations.
• Analyze and improve model performance: Investigate model weaknesses, evaluate results across different conditions, and identify opportunities to improve training data.
• Contribute to real-world AI projects: Support projects such as cobblestone road assessment and traffic sign detection, helping us improve our technology for municipalities.

• Are currently pursuing a Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related technical field or you have just finished your studies and would like to start with an internship to your career.
• Have practical experience working with image datasets, including labeling, reviewing, cleaning, or preparing data for machine learning applications.
• Have solid Python programming skills and experience with common data science libraries such as NumPy, pandas, or image processing tools.
• Have a good understanding of machine learning fundamentals, ideally with a focus on computer vision and image processing.
• Are detail-oriented and analytical, with an eye for identifying inconsistencies and improving data quality.
• Are proactive, motivated, and comfortable working independently in a fast-moving environment.
• Are located in Germany.

What We Offer

• Location | Remote in Germany
• Top-tier equipment & tools : MacBook, iPhone, AirPods, plus access to Google Workspace, Notion, Slack, Salesforce, Aircall, and Microsoft 365
• A dynamic and multicultural scale-up environment : 10+ nationalities, flat hierarchy, and real impact from day one
• Flexible working options : Hybrid or remote from Germany, with travel for events and training
• Offsites & Events: Regular in-person team gatherings and company-wide meetups
• Long-term perspective: The opportunity to grow into a permanent role within our Data Science team after completing your studies, depending on mutual fit and business needs.

In this role, you will help improve the quality of the data powering our AI models and contribute directly to making road condition assessments more accurate and reliable. You'll work with real-world image datasets, collaborate closely with our Data Science team, and gain hands-on experience in computer vision and machine learning. We're looking for someone excited to grow with us, ideally with the perspective of transitioning into a permanent Junior position after the internship.

vialytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. vialytics never charges any fees for applications, resume reviews, interviews, or training processes. Official communication from our recruiting team will only come through: our recruiting platform Teamtailor, verified LinkedIn profiles of vialytics recruiters, or email addresses ending in @vialytics.de, @vialytics.fr, or @vialytics.com