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Internship
postgraduate degree
Hackathons, Summer Parties, Company Outings, Regular Events
Posted 1d ago
~40 hrs/week
Responsibilities
Design and experiment with new machine learning architectures for structured visual data and image-to-sequence modeling. Conduct systematic experiments and error analyses to improve the robustness and generalization of large-scale visual applications.
Requirements
Candidates should be MSc or PhD students in Computer Science or a related field with a strong foundation in ML theory and computer vision. Proficiency in Python and deep learning frameworks like PyTorch is essential.
Full job description
Duration: Minimum 6 months; ideally 9–12 months, depending on the candidate’s experience
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.
About the Internship
We are offering a research-focused internship aimed at advancing machine learning methods for complex visual understanding tasks. The project centers on deep learning architectures for image-to-sequence modelling, such as Transformers, attention mechanisms, and modern sequence and representation-learning frameworks, to address challenging and highly structured computer vision problems. This project contributes to long-term research efforts aimed at achieving even higher performance, robustness, and generalization in large-scale visual applications.
What you will do
You will work closely with experienced ML researchers and engineers on cutting-edge research at the intersection of computer vision and sequence modeling. Your work will include:
Designing and experimenting with new ML architectures for structured visual data.
Investigating techniques for improving robustness, generalization, and multi-view reasoning.
Running systematic experiments, ablations, and error analyses to validate research hypotheses.
This project provides opportunities for novel model design, extensive experimentation, and scholarly research. You will contribute to long-term innovation in our technology, with potential real-world impact for millions of users. An ideal position for experienced master’s students, PhD collaborations, or candidates preparing for a research career in industry or academia.
Who you are
MSc or PhD student in Computer Science, Machine Learning, Artificial Intelligence, or a related field with a strong research focus. Candidates should have a solid foundation in machine learning theory, neural networks, and computer vision.
Essential Skills:
Proficiency in Python and deep learning frameworks such as PyTorch.
Practical experience designing, training, and evaluating neural networks, including CNNs and Transformer-based architectures.
Strong analytical and problem-solving abilities, with the capability to interpret experimental results and iterate effectively.
Familiarity with research best practices, including reproducibility, controlled experiments, and ablation studies.
Desirable Skills:
Prior research experience in computer vision, pattern recognition, sequence modeling, or image-to-sequence architectures.
Experience training large-scale models or working with foundation-style architectures.
Contributions to publications, preprints, or open-source machine learning projects.
Strong communication skills and the ability to work independently in a research-oriented environment.
What We Offer
We are certified as a “Great Place to Work” in 10 countries!
A highly skilled team and a fun environment where you can put your enthusiasm for computer vision challenges and cutting-edge technologies to use
Hackathons, summer parties, company outings and other regular events
Office in the city center of Tampere
Who We Are
Could 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.
Scandit Smart Data Capture enables users to interact with items by capturing data from barcodes, text, IDs and objects.
Industry
Software Development
Company size
201-500 employees
Founded
2009
Headquarters
Zurich
Scandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence.
We enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included.
Visit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us.
Offices: Scandit AG, Förrlibuckstrasse 181, Zurich, 8005, CH · 33 Arch St, Boston, Massachusetts 02110, US · 1 Fore Street Avenue, London, England EC2Y 5EJ, GB · Koszykowa 61, Warsaw, . 00-66 67, PL · Finlaysoninkuja 21 a, Tampere, Pirkanmaa 33210, FI
Image RecognitionOptical Character Recognition (OCR)Computer VisionTransportation and LogisticsHealthcareBarcode Scanning SoftwareAugmented RealityRetail SoftwareEnterprise SoftwareLast Mile Solutions