Computer Vision/Machine Learning Summer Job 2026
Quick Summary
Research on image to sequence models for barcode scanning or state of the art image enhancement methods Improve barcode scanning algorithms for surfaces with deformations,
Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.
We are looking for students with a passion for computer vision or machine learning to join one of our engineering teams in Tampere for three to six months. You will be a part of product development and you will help us improve and extend algorithms and their automated testing infrastructure.
Scandit is a great place to apply the theory from your studies and learn best practices used in the industry in an international team.
Responsibilities
~1 min readWe have many interesting projects to offer, both in computer vision and machine learning:
- →Research on image to sequence models for barcode scanning or state of the art image enhancement methods
- →Improve barcode scanning algorithms for surfaces with deformations, glare or reflections
- →Enhance real-time visual tracking and pose estimation of our products through the integration of additional sensor measurements and cutting-edge machine learning algorithms
- →Enhance our real-time visualization system to analyze and develop our computer vision algorithms
- →Reduce manual steps in our image annotation tools with smart algorithms
- →Improve extraction of semantic information from complex documents through visual reasoning
- Computer vision algorithms: C++17, CMake
- Machine learning training and tooling: Python, Pytorch
- Acceleration: SIMD, Vulkan, CoreML
- Highly motivated student, interested in a summer job of three months or longer
- Enrolled in or completed a bachelor’s or master’s program in computer science, information technology or a related field
- Solid knowledge of data structures and experience in object-oriented programming
- You have taken courses in computer vision, image processing and/or machine learning
- Ideally you already had some exposure to solving a computer vision problem in a semester project or thesis
- If you are interested in working on the on-device image recognition algorithms, solid C++ programming skills will be needed
- Python programming knowledge is a plus
What We Offer
~1 min readCould your code give superpowers? Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. This means we have no shortage of technical challenges for engineers like you. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.
“Everybody is welcome here” - Is a celebrated component of our DNA.
At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.
All qualified applications will receive consideration for employment without regard to race, colour, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.
Location & Eligibility
Listing Details
- First seen
- April 3, 2026
- Last seen
- April 27, 2026
Posting Health
- Days active
- 23
- Repost count
- 0
- Trust Level
- 31%
- Scored at
- April 27, 2026
Signal breakdown
Scandit is a Swiss technology company that provides smart data capture software, enabling devices like smartphones to perform enterprise-grade barcode scanning, text recognition, and object identification.
View company profilePlease let Scandit know you found this job on Jobera.
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