VLM Jobs
6 VLM jobs currently listed
Browse 6 open positions that require VLM 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
- 6 companies hiring
- Mostly Senior roles
- Often paired with PyTorch, LLM, Machine Learning, Python
- Top locations: Abu Dhabi, Amsterdam, Lugano
Market insights
Brainco is currently the most active employer hiring for VLM.
Seniority mix
- Senior 40%
- Staff 40%
- Lead 20%
Top hiring companies
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.
Staff Machine Learning Engineer, LLM Inference Optimization
Amsterdam, Netherlands +5 - English
AI Research Engineer (Model Compression & Quantization)
Lugano, Switzerland (Remote) - English (excellent)
Senior Research Scientist, AI Foundations Recipes
Oxford, United Kingdom +1 - English
Staff Machine Learning Engineer, Ads Foundational Representations
United Kingdom (Remote) - English
Frequently Asked Questions
- There are currently 6 open positions that list VLM 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 VLM 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.