Computer Vision / Applied AI Intern (Summer 2027)

• 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
• 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
• Each intern will have:
• A defined technical project aligned with current team priorities
• A hiring manager responsible for project scope, performance, and feedback
• A dedicated mentor separate from the hiring manager
• Structured midpoint feedback
• Regular opportunities to collaborate with and learn from Simbe engineers
• A final project presentation at the end of the internship
• We do not believe in creating busywork for interns. Your project will be selected closer to your start date based on active team priorities so that you can contribute to meaningful work alongside our full-time engineering team

Benefits

• Comprehensive health plans
• Culture of learning
• Flexible time off

• 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