Helsing

About the Company

Helsing is a new type of security and artificial intelligence company.

We believe that software – and, in particular, artificial intelligence – will be the key capability to keep liberal democracies from harm. Our ambition is to achieve global technology leadership in real-time information processing, turning unstructured sensor data into information advantage for democratic governments. Our platform aims to provide the clearest picture possible in any operating environment. We’re looking for people with their heart in the right place, who share our conviction that liberal democratic values are worth protecting, for ourselves and for future generations.

Listed Jobs

Company Name

Helsing

Job Title

Software Engineer - Frontend

Job Description

**Job Title:** Software Engineer – Frontend **Role Summary:** Own end‑to‑end front‑end architecture for Helsing’s products, build and maintain a reusable React component library, mentor teammates, and shape engineering standards while delivering production‑ready UI. **Expectations:** - Deliver maintainable, high‑performance TypeScript/React code. - Take ownership of UI from wireframes to deployment. - Mentor peers and support hiring pipeline. - Foster an ethical, collaborative culture. **Key Responsibilities:** - Review code, proposals, and RFCs; unblock colleagues. - Design and implement UI from prototype to production. - Establish and evolve a cross‑product React component library. - Build tooling to enforce frontend standards and improve productivity. - Mentor junior engineers and participate in interview processes. - Share knowledge through talks, reading groups, and office hours. - Collaborate with backend teams (primarily Rust) to integrate APIs. - Present work in weekly demos and gather feedback. - Stay current on best practices, libraries, and frameworks. **Required Skills:** - Proficient with TypeScript, React, and component design. - Experience with REST and GraphQL APIs. - Demonstrated ability to run live, production‑grade applications. - Strong code‑review and async communication skills. - Comfortable navigating unfamiliar backends (Rust exposure welcome). - Excellent English verbal and written communication. - Passion for continuous learning and ethical engineering. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or related field, **or** equivalent professional experience. ---

Paris, France

On site

16-01-2026

Company Name

Helsing

Job Title

AI Research Engineer - Foundation Models

Job Description

Job Title: AI Research Engineer – Foundation Models Role Summary: Research, design, and train large‑scale Vision‑Language and multimodal foundational models for defense‑grade autonomous systems. Lead the end‑to‑end lifecycle from data curation to evaluation, integrating cutting‑edge academic advances into production pipelines. Expectations: - MSc or PhD in Machine Learning, Computer Science, Mathematics, or related field. - Demonstrated experience training or fine‑tuning large‑scale LLMs, VLMs, or multimodal models. - Strong programming in Python; proficiency in PyTorch or JAX; ability to implement custom layers, losses, and distributed training loops. - Excellent communication and ability to translate complex theory into actionable code. - First‑principles mindset with a habit of reading and applying recent ArXiv research. Key Responsibilities: - Develop and optimize multimodal transformer architectures for vision‑language tasks. - Curate, clean, and prune large sensor datasets; build scalable data pipelines. - Design, implement, and maintain distributed training pipelines on GPU clusters. - Conduct rigorous model evaluation, benchmarking, and safety validation. - Collaborate with cross‑functional teams to integrate models into autonomous products. - Contribute to internal research culture through code reviews, documentation, and knowledge sharing. Required Skills: - Deep learning fundamentals (transformers, attention mechanisms, efficient architectures). - Python programming with advanced use of PyTorch/JAX. - Distributed training (Horovod, DeepSpeed, etc.). - Experience with large‑scale GPU clusters (e.g., AWS, GCP, Azure). - Data engineering for large‑scale multimodal datasets. - Strong analytical, problem‑solving, and communication skills. Required Education & Certifications: - MSc or PhD in Machine Learning, Computer Science, Mathematics, or a related discipline. - No specific certifications required.

London, United kingdom

On site

26-01-2026