Vision-Language Models Jobs
5 Vision-Language Models jobs currently listed
Browse 5 open positions that require Vision-Language Models 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
- 4 companies hiring
- Mostly Lead roles
- Often paired with Python, PyTorch, TensorFlow, C++
- Top locations: Ann Arbor, Potsdam, Renningen
- 1 new in the last 7 days
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.
Bosch today
Remote
Research Engineer Foundation Model ML Ops (f/m/div.)
Renningen, Germany (Remote) - English
Python PyTorch LLM GenAI AI Agents +1
Maymobility 1 month ago
Remote
Lead ML Engineer - Lane & Route Network Mapping
English
PyTorch TensorFlow Python C++
$220.000–270.000 /yearMaymobility 2 months ago
Remote
Lead ML Engineer - Mapping
Ann Arbor, United States (Remote) - English
PyTorch TensorFlow Python C++ Linux
$225.000–275.000 /yearFrequently Asked Questions
- There are currently 5 open positions that list Vision-Language Models as a required skill. This number updates daily as new jobs are posted.
- 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.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Vision-Language Models jobs that don't use a particular framework or language.
- 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.