Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

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Assessment

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Deadline

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Where they hire

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About this role

Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers) Zurich 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. - Evaluating alternative modeling paradigms (e.g., encoder-decoder, hybrid Transformer models, sequence-based representations). - 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

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