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AI Research Engineer - Foundation Models

HHelsing
Seniority
Midweight
Model
In-Office
Sector
Deeptech
Salary
Undisclosed
Contract
Full-Time

About the role

At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products, with responsibility for the entire model lifecycle, from data curation and training to evaluation.

What you'll need

  • MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.
  • Theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large-scale multimodal models) from scratch or through fine-tuning.
  • Strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX) — comfortable writing custom layers, loss functions, and distributed training loops.
  • Clear communicator who can build from complex theoretical concepts and contribute to the company's internal research culture.
  • "First-principles" mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.

Nice to have

  • Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.
  • Experience training models on large-scale GPU clusters.
  • Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.

What they offer

  • Competitive salary and stock options (ESOP)
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • Learning: €500/£450 yearly allowance
  • Health and wellness: gym membership and mental health support
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers, 6 weeks for secondary caregivers
  • 5 days paid family emergency leave, 100% remote work option during pregnancy and phased return to work
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