Computer Vision​/Applied AI Intern

Simbe is building the AI-powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer-focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.

Simbe is looking for a Computer Vision / Applied AI Intern to join the team building and improving the computer vision systems that transform imagery collected by Tally into actionable retail intelligence.

This internship is designed for students who want hands-on experience applying computer vision and machine learning to real-world data and production systems at meaningful scale.

• Work with real-world visual data. Help improve systems that interpret imagery collected by autonomous robots operating in live retail environments.
• Learn production computer vision. Gain exposure to the full lifecycle of CV/ML systems, from datasets and experimentation through evaluation and production deployment.
• Contribute to meaningful work. Your project will align with an active team initiative rather than being isolated “intern work.”
• Own a defined project. You’ll be given clear goals and an appropriately scoped problem you can meaningfully contribute to during the internship.
• Learn from experienced CV and ML engineers. You’ll work directly with Simbe engineers and have a dedicated mentor separate from your hiring manager.
• See how models perform in the real world. Work with the challenges that come from noisy imagery, changing retail environments, data quality, edge cases, and production requirements.

• Own and contribute to a scoped project aligned with the Computer Vision / Applied AI team’s priorities during your internship.
• Develop, test, and evaluate computer vision and machine learning solutions using Python and modern ML frameworks.
• Work with production image datasets and help identify patterns, failure modes, and opportunities for improvement.
• Contribute to areas such as object detection, OCR, barcode decoding, segmentation, dataset curation, annotation quality, model evaluation, or error mining depending on current team needs.
• Build or improve tools that support dataset analysis, model evaluation, experimentation, or production workflows.
• Write maintainable, well-structured code and contribute tests where appropriate.
• Use quantitative analysis to evaluate model performance and communicate findings clearly.
• Collaborate with engineers across Computer Vision, Applied AI, Data, Robot Software, and other technical teams.
• Communicate progress, technical decisions, challenges, and results throughout the internship.
• Present your project, approach, results and key learnings at the end of the program.

• Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Robotics, Machine Learning, Data Science, or a related technical field.
• We primarily target students in their final year of study and will also consider strong juniors.
• Strong Python programming skills, including familiarity with common data structures, algorithms, and software development practices.
• Coursework or hands-on experience in computer vision, machine learning, or deep learning.
• Experience with PyTorch, Tensor Flow, or a comparable machine learning framework.
• Experience working with structured Python projects beyond notebooks alone.
• Familiarity with Git or another source-control system.
• Comfortable working with data to evaluate results, investigate failures, and support technical…