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

Industrials

51-250 (210)

Founded 2021

$343M raised

10 open positions

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AI Research Engineer - Foundation Models

5 hours, 15 minutes 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 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 10

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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