Vision Transformers Jobs

2 Vision Transformers jobs currently listed

Browse 2 open positions that require Vision Transformers experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.

By the numbers

  • 2 companies hiring
  • Mostly Senior roles
  • Often paired with Python, C, C++, Fortran
  • Top locations: Culham, Munich
  • 2 new in the last 7 days

Market insights

NavVis is currently the most active employer hiring for Vision Transformers.

Seniority mix

  • Senior 50%
  • Staff 50%

What you'll find here

Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.

NavVis 3 days ago
Hybrid

Senior Machine Learning Engineer - Semantic Spatial AI (F/M/D)

Munich, Germany - English

Python PyTorch TensorFlow
UKAtomicEnergyAuthority 6 days ago
Hybrid

Data Scientists

Culham, United Kingdom - English (C2)

C++ Fortran C Rust Python +4
£64.820–64.820 /year

Frequently Asked Questions

How many Vision Transformers jobs are available right now?
There are currently 2 open positions that list Vision Transformers as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires Vision Transformers?
We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Vision Transformers jobs that don't use a particular framework or language.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.