Research Engineer: Human Influence & AI Safety

Research Engineer: Human Influence & AI Safety

Full-Time 49500 - 60500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advance AI safety through scalable RL and rigorous experimentation.
  • Company: AI Security Institute, a leader in AI governance based in London.
  • Benefits: Access to pre-release models, ample compute, and publishing opportunities.
  • Other info: Collaborative environment with a focus on innovation and impact.
  • Why this job: Join a hyper-impactful team and shape the future of AI safety.
  • Qualifications: Experience in machine learning and a passion for AI governance.

The predicted salary is between 49500 - 60500 £ per year.

AI Security Institute, based in London, seeks a Research Engineer to advance our Human Influence program through scalable RL post-training, evaluation pipelines, and rigorous experimentation on frontier AI safety.

You will work alongside researchers and engineers, deploying robust ML systems and contributing to policy-relevant AI governance discussions.

Join a hyper-impactful team with access to pre-release models, ample compute, and opportunities to publish.

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Research Engineer: Human Influence & AI Safety employer: AI Security Institute

The AI Security Institute is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. Located in a vibrant research environment, employees benefit from continuous growth opportunities, competitive compensation, and the chance to contribute to cutting-edge projects in AI security. Join us to be part of a mission-driven team that values your expertise and encourages professional development.

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Contact Details:

AI Security Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Engineer: Human Influence & AI Safety

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We think you need these skills to ace Research Engineer: Human Influence & AI Safety

Research Skills
Machine Learning (ML)
Reinforcement Learning (RL)
Evaluation Pipelines
Experimental Design
AI Safety
Data Analysis

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