Principal Research Scientist – Trust & Safety

You will be joining a world-leading technology company at their R&D site in Helsinki.

We are looking for a distinguished technical leader to spearhead the creation of dependable, high-efficiency, and secure artificial intelligence systems. This role is central to advancing the frontier of “Safe Agentic AI” and developing sophisticated detection mechanisms for next-generation generative services. You will be responsible for defining the strategic direction of our safety research and ensuring our models are both highly competitive and fundamentally trustworthy.
 

Responsibilities

• Strategic Research Leadership: Direct the conceptualization and implementation of reliable, high-performance detection technologies and secure autonomous AI frameworks.
• Safety Strategy: Help shape a comprehensive long-term plan for digital safety, focusing on enhancing AI-driven classification and the protection of complex generative systems.
• Architectural Oversight: Architect and scrutinize system designs to ensure they remain at the cutting edge of the industry while adhering to strict safety protocols.
• Collaborative Innovation: Conduct practical, experimental research alongside internal teams and forge deep partnerships with academic institutions.
• Expert Consulting: Deliver high-level technical perspectives and research initiatives to move the needle on current state-of-the-art developments.
• Stakeholder Engagement: Maintain active lines of communication with both internal leadership and the broader global research community.

Qualifications

• PhD in Computer Science, Machine Learning, Deep Learning, Mathematics, or a relevant  field.
• 8+ years of dedicated research experience at the intersection of Artificial Intelligence and Cybersecurity, with a demonstrated focus on Trust and Safety.
• History of successfully architecting and deploying large-scale, high-performance models (LLMs/VLMs) and multi-step reasoning agents.
• Deep practical experience in synchronizing AI behavior with human values using techniques like RLHF, neural editing, adversarial training, and game theory.
• Familiarity with implementing technical solutions that meet the standards of the EU AI Act, GDPR, and the Digital Services Act.
• Specialized experience in identifying abuse, detecting deep fakes, and ensuring model fairness and transparency.
• Ability to distill highly abstract technical concepts into clear strategies for stakeholders at every level of an organization.
• Outstanding publication history in premier venues such as CVPR, ACL, AAAI, or EMNLP.
• Proactive approach to problem-solving and a desire to challenge existing industry standards within a diverse, international team.

Benefits

• Annual Bonus
• Relocation Package
• Lunch Vouchers
• Equipment (laptop, etc.)