Senior Researcher – Agentic Safety / Agentic AI / Alignment / AI Safety / LLMs / VLMs

We are looking for a Senior Researcher to join a world leading technology company at their R&D Lab in Helsinki.

You are a high-level scientific expert to lead initiatives in securing and ethically aligning autonomous AI systems. This position focuses on moving beyond standard model safety to address the complex challenges inherent in agents that perform multi-step reasoning, plan tasks, and interact with external tools.

As a Senior Researcher your responsibilities will include:

• Advancing AI Alignment: Refine and deploy sophisticated methodologies—such as Constitutional AI, RLHF, and RLAIF—specifically optimized for autonomous workflows and complex chain-of-thought logic.
• Proactive Vulnerability Assessment: Engineer automated red-teaming frameworks and specialized "safety sandboxes" designed to identify and mitigate failure modes unique to agentic systems
• System Hardening: Build robust defensive layers to shield models from adversarial exploits, including prompt injections and jailbreaking attempts that target planning and tool-use functions
• Transparency and Auditing: Develop tools to decode the "black box" of agentic logic, ensuring that the reasoning behind every decision is auditable and transparent.
• Theory-to-Code Pipeline: Translate the latest theoretical breakthroughs from AI safety literature into scalable, high-performance software frameworks ready for production.

As a Senior Researcher your skills will include:

• PhD in Computer Science, Machine Learning, Deep Learning, Mathematics, or a relevant field.
• Proven research track record in generative AI safety and alignment, with deep technical knowledge of LLMs, neural networks, and reinforcement learning.
• Advanced skills in Python, C++, or Java, coupled with extensive experience using major ML libraries like PyTorch or TensorFlow.
• Practical familiarity with agent-centric frameworks, such as LangChain, OpenClaw, or AutoGPT.
• Highly valued background in neural network interpretability, value alignment, model robustness, and editing techniques.
• Prior contributions to AI ethics, safety, or trust-and-safety initiatives are strongly preferred.
• Consistent history of publishing impactful work at premier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, or AAAI).
• Success in prestigious international competitions, such as the ICPC, IMO, or IOAI, is highly regarded.
• Drive to work effectively within multicultural teams and a passion for challenging traditional paradigms in the AI field.

Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme!

Key words – Agentic AI / Value Alignment / Agentic Safety / LLMs / VLMs / GenAI / Neural Networks / Reinforcement Learning

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