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AI Research Engineer - Foundation Models

4 months, 3 weeks ago
France, United Kingdom, Germany
Full-time
Senior
AI Research Scientist
Software Development
Deep Learning Generative AI LLM Machine Learning Python PyTorch Reinforcement Learning Transformers
Apply Now
Helsing

Helsing

Helsing is a security and AI company committed to safeguarding democracies through cutting-edge technology, emphasizing ethical standards and global leadership in real-time information processing.

Aerospace & Defense
51-250
Founded 2021
$343M raised
View All Jobs 13

Description

  • Research, design, and train large-scale foundational models for physical-world applications.
  • Train and fine-tune vision-language models on custom datasets for Helsing’s products.
  • Own the full model lifecycle from data curation through training and evaluation.
  • Develop and implement custom layers, loss functions, and distributed training loops in code.
  • Contribute to internal research by turning theoretical ideas into working implementations quickly.
  • Collaborate within an engineering and AI research environment focused on advanced multimodal modeling.
  • Help improve model capabilities, robustness, and performance on complex multimodal data.
  • Participate in technical debate and contribute to Helsing’s research culture and outcomes.

Requirements

  • MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.
  • Theoretical understanding and practical experience training foundational models such as LLMs, VLMs, or other large-scale multimodal models from scratch or via fine-tuning.
  • Strong software engineering skills in Python.
  • Fluency with modern deep learning frameworks such as PyTorch or JAX.
  • Comfort writing custom layers, loss functions, and distributed training loops.
  • Clear communication skills and the ability to build from complex theoretical concepts.
  • A first-principles mindset and interest in reading and implementing recent ArXiv papers quickly.
  • Preferred: authored publications at top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, or ACL.
  • Preferred: experience training models on large-scale GPU clusters.
  • Preferred: experience with data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.

Benefits

  • Competitive salary with VSOP options.
  • Relocation support of up to €2,500 plus 4 weeks of temporary accommodation.
  • €500/£450 annual learning allowance.
  • Gym membership and mental health support through Nilo.health.
  • Regular company events and monthly social allowances.
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers.
  • 5 days of paid family emergency leave.
  • 100% remote work option during pregnancy and a phased return-to-work arrangement.

Interested in this position?

Apply directly on the company website

Apply Now

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