Computer Vision / Applied AI Intern (Summer 2027)

Join Simbe, a company focused on transforming retail intelligence through computer vision technology. As a Computer Vision / Applied AI Intern, you will gain hands-on experience applying computer vision and machine learning to real-world data and production systems. You will work on a scoped project aligned with the team's priorities, develop and evaluate solutions using Python and modern ML frameworks, and collaborate with engineers across various technical teams. This internship offers a unique opportunity to contribute to meaningful work alongside a full-time engineering team.

• Contribuer à un projet défini aligné sur les priorités de l'équipe de vision par ordinateur / IA appliquée, en développant, testant et évaluant des solutions.
• Travailler avec des ensembles de données d'images de production pour identifier des modèles, des modes de défaillance et des opportunités d'amélioration.
• Collaborer avec des ingénieurs d'autres équipes techniques et communiquer les progrès, les décisions techniques et les résultats.

• Familiarity with Git or another source-control system
• Experience with pandas, NumPy, OpenCV, Jupyter, SQL, or related data and ML tooling
• Previous internship, research, or project experience involving computer vision or machine learning
• We primarily target students in their final year of study and will also consider strong juniors
• Experience with PyTorch, TensorFlow, or a comparable machine learning framework
• Experience with AI-assisted coding and engineering tools and the ability to thoughtfully validate generated output
• Coursework or hands-on experience in computer vision, machine learning, or deep learning
• Experience with object detection, image segmentation, OCR, barcode recognition, image classification, or related vision problems
• Experience working with structured Python projects beyond notebooks alone
• Comfortable working with data to evaluate results, investigate failures, and support technical decisions
• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Robotics, Machine Learning, Data Science, or a related technical field
• Experience creating, cleaning, curating, or evaluating image datasets
• Strong communication and collaboration skills
• Familiarity with Linux, shell scripting, Docker, or cloud-based development environments
• Strong Python programming skills, including familiarity with common data structures, algorithms, and software development practices
• Familiarity with model evaluation techniques, error analysis, experiment tracking, or data-quality workflows
• Personal computer vision, machine learning, robotics, or software projects outside of coursework
• Strong technical problem-solving skills and willingness to work through ambiguous or unfamiliar problems