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

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

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

Read the full description at www.scandit.com. FewerJobs shows a source-linked preview and links to the original posting.