AI Research Engineer (PhD required)

At NeuralTrust, we’re looking for a AI Research Engineer (PhD required) to lead our product vision, shape our platform strategy, and work closely with enterprise clients to secure and scale their AI transformation. Join us!

🚀 About NeuralTrust

We’re a Barcelona-based startup that is rapidly scaling globally to become a leader in AI agent security. Our platform enables organizations to secure agent systems, covering both exposure management and runtime security.

Backed by leading European investors and collaborating with top Spanish universities, NeuralTrust operates at the intersection of cybersecurity and AI.

🥷 What You Will Do

• Design and implement novel AI-driven components of our platform.
• Apply state-of-the-art research in NLP, LLMs, and generative AI to production systems.
• Lead experiments in fine-tuning, evaluation, and deployment of advanced models.
• Develop efficient pipelines for large-scale data and model training.
• Collaborate with engineering and product teams to turn research into practical solutions.
• Publish technical articles, internal papers, and contribute to our knowledge base.
• Stay at the frontier of AI by evaluating new research and integrating findings.

⭐️ About You

This role requires a PhD in AI, Machine Learning, Natural Language Processing, Computer Science, or a closely related field.

• PhD with strong research experience in AI/ML (NLP, generative AI, or similar).
• Proven record of publications, patents, or significant contributions to the AI field.
• Strong coding skills in Python and familiarity with frameworks like PyTorch or TensorFlow.
• Solid foundation in algorithms, optimization, and applied statistics.
• Hacker mentality: able to rapidly prototype, experiment, and adapt.
• Comfortable bridging research and engineering: from theory to production.
• Team player with a collaborative mindset and strong communication skills.

✨ Benefits

• Competitive salary aligned with your experience and impact.
• Flexible compensation plan (transport, restaurants, baby daycare…).
• Hybrid remote flexibility (work part of the week remotely, with periods of full remote).
• The latest tools and tech to do your job.
• High growth opportunity.