Simbe combines shelf-scanning robots, fixed sensors, and RFID in one platform, giving retailers accurate inventory, pricing, and shelf data in real time. Backed by SOSV.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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, TensorFlow, or a comparable machine learning framework
- Experience working with structured Python projects beyond notebooks alone
More about this role
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...
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