Computer Vision Internship
Ship real detection and vision systems.
An 8–12 week paid internship where you work on real image and video pipelines — detection, OCR, video analytics — deployed to production, under a practicing computer vision engineer.
Move from training notebooks to a deployed vision system
This is the internship that follows our Computer Vision training — you're placed on a real vision project, working on detection, OCR, or video analytics tied to an actual manufacturing, security, or document-processing requirement.
You'll ramp up on the project's data and pipeline in week one, move into guided model and pipeline work, and by the second half of the internship, you'll be owning a vision feature end to end, from data through evaluation and deployment.
What you'll work on
Real vision pipeline work, scoped to grow with your skill level.
Image Processing Pipeline Work
Build and refine preprocessing steps for a real image or video dataset.
Model Training & Evaluation
Train, evaluate, and tune a detection or classification model on real data.
Object Detection Features
Build or extend detection and localization features for a live project.
OCR & Document Pipelines
Work on structured data extraction from real scanned documents or images.
Code Review Participation
Have your pull requests reviewed, and review others', as part of the team's workflow.
Model Optimization & Deployment
Help optimize and deploy models to a real cloud or edge environment.
Technologies you'll work with
How the internship is structured
A four-phase structure that moves you from onboarding to owning a real vision feature.
01. Onboarding & Project Ramp-up
Week 1- Tooling and environment setup
- Data and pipeline walkthrough
- Meet your mentor and team
- First small, guided task
02. Guided Model & Pipeline Work
Weeks 2–6- Paired work on real training and pipeline tickets
- Daily standups and sprint planning
- Code review on every pull request
- Mid-internship progress check-in
03. Independent Feature Ownership
Weeks 7–10- Own a vision feature end-to-end with mentor support
- Run model evaluation and benchmarking
- Participate in deployment
- Document your work for the team
04. Final Presentation & Evaluation
Weeks 11–12- Present your shipped work to the team
- Mentor evaluation and written feedback
- Certificate and LOR eligibility review
- Full-time opportunity discussion, if applicable
The kind of work interns actually ship
Real examples of feature scope Computer Vision interns take on.
Defect Detection Model Tuning
Improved detection accuracy on a live manufacturing defect classification model.
Attendance System Face Matching
Added a face-matching improvement to a live automated attendance system.
Invoice Field Extraction
Built a new field-extraction rule set for an OCR pipeline processing real invoices.
What makes this internship real
Real Datasets, Not Benchmarks
You work with messy, real-world image and video data, not clean benchmark datasets.
A Named Mentor
You're paired with one computer vision engineer for the full internship who reviews your work.
Deployment-focused Practice
You practice optimizing and shipping models, not just training them in a notebook.
Eligibility
Basic Python Knowledge
Comfortable reading and writing basic Python is expected.
OpenCV or PyTorch Exposure Helpful
Prior exposure to OpenCV, PyTorch, or our Computer Vision training program is a plus, but not mandatory.
Full-time Availability
Able to commit to a full-time, weekday schedule for the internship's duration.
A GitHub Profile
Any prior project work or coursework repos you can share with your application.
What you walk away with
Performance-based Stipend
A paid internship, with stipend tied to your track and prior experience.
Certificate of Completion
Awarded to every intern who completes the program's full evaluation.
Letter of Recommendation
Issued to strong performers based on their mentor's written evaluation.
A Real Shipped Portfolio
A deployed vision feature you can show and speak to in interviews.
Full-time Consideration
Top performers are considered first when Computer Vision Engineer roles open.
A Direct Mentor Reference
A working computer vision engineer who can speak to your work firsthand.
Why intern with YashOrbit
You Ship, Not Just Learn
Every intern's work goes into a real deployed vision feature, not a training notebook.
Mentors Who Are Still Building
You're reviewed by engineers actively shipping vision systems to clients.
A Clear Path to Full-time
Strong performance is the primary path to a full-time offer, evaluated transparently.
Frequently asked questions
Yes, this is a paid internship with a performance-based stipend, shared with you during the selection process.
Ready to intern on real Computer Vision work?
Apply for the Computer Vision internship and start shipping vision systems that actually go live.