Dex
AI Research Engineer - Foundation Models
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This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
If you're interested sign up to Dex to apply.
Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.
The role
This company builds foundational intelligence for the physical world. Their mission: protect democracies through technological leadership. They develop large-scale models that transform complex multimodal sensor data into autonomous capabilities, integrating with existing hardware across operational domains. Backed by leading investors, they've scaled rapidly to over 800 people across Europe, with significant funding and a team from top-tier AI and tech companies.
This isn't a pure research role. Nor is it just applying off-the-shelf models. You'll sit at the intersection of AI research and machine learning engineering, owning the entire model lifecycle for Vision-Language Models. From data curation to training and evaluation, you'll fine-tune VLMs on custom, large-scale datasets, directly powering products that operate in the physical world. Expect significant ownership and a direct contribution to the company's internal research culture.
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The work
- Train and fine-tune Vision-Language Models (VLMs) and other large-scale multimodal models.
- Own the full model lifecycle: from data curation and cleaning to distributed training and evaluation.
- Implement cutting-edge research from arXiv papers into production-ready code.
- Develop custom layers, loss functions, and distributed training loops for foundation models.
- Contribute to the internal research culture, pushing the boundaries of multimodal AI.
What You Bring
- An MSc or PhD in ML, CS, or Math, with a deep learning focus.
- Proven practical experience training or fine-tuning foundation models (LLMs, VLMs, multimodal).
- Strong Python engineering skills, fluent in PyTorch or JAX, capable of custom layer/loss/distributed training implementation.
- A first-principles approach to AI research, translating cutting-edge papers into code.
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Why apply through Dex
This is a highly sought-after role in a competitive field. Dex helps you cut through the noise: get properly briefed on this specific opportunity and similar roles, without the hassle of cold-applying. We ensure your profile stands out to the right hiring teams.
If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/b5b70be5-a2e3-42c8-a4c1-4f1b7f5dc5b7
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