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AI Safety Research Specialist
2 months ago
Position Overview
About the Department for Science, Innovation & Technology
The Department for Science, Innovation & Technology is dedicated to enhancing public safety in the realm of artificial intelligence. Our objective is to foster responsible development in advanced technologies by assembling a team of skilled professionals committed to this cause.
We are driven by a sense of urgency and ambitious goals.
- Assess and Enhance AI Systems: Evaluating capabilities relevant to safety, understanding societal implications, and improving security measures.
- Develop Governance Tools for AI: Crafting frameworks and methodologies to assess safety and societal impacts, while predicting how technical advancements can shape AI governance.
- Promote Knowledge Sharing: Creating effective communication channels for exchanging information with stakeholders at both national and international levels.
Our team is composed of seasoned professionals from various sectors, including leading tech companies and governmental organizations, alongside machine learning specialists from top academic institutions. We are in search of exceptional technical talent worldwide to help us establish international standards for AI safety.
As we anticipate the emergence of more sophisticated AI models, our commitment to advocating for safe and responsible AI development is more crucial than ever.
Core Values:
- Diverse Perspectives: We believe that a variety of backgrounds and experiences contribute to our success.
- Collaborative Environment: We thrive on teamwork and open collaboration, valuing contributions of all sizes.
- Innovation and Impact: We are committed to making significant advancements in AI safety and capability, encouraging innovative thinking and bold ideas.
- Inclusive Culture: We aim to cultivate an inclusive workplace where every individual feels valued and can contribute authentically, enhancing innovation and decision-making.
Role Description
About the Research Team
The mission of the Autonomous Systems research team is to address and mitigate the risks associated with autonomous AI technologies.
Our strategy involves investigating potential hazards posed by autonomous systems, developing tools to measure and predict these risks, and collaborating with other teams to ensure our research informs real-world AI safety measures and policy frameworks.
The Autonomous Systems Team is actively seeking motivated Research Scientists and Engineers to contribute to our efforts in tackling the risks associated with autonomous AI.
We have openings for candidates with varying levels of experience and expertise.
You will be integrated into one of our specialized research sub-teams:
- Agents Research Team: Focusing on the development of agent systems that exceed current state-of-the-art models.
- Self-Improvement Research Team: Examining risks linked to uncontrolled self-enhancement of AI models.
- Auto-Replication Research Team: Investigating the dangers of autonomous AI replicating itself across different hardware or devices.
- Manipulation & Deception Research Team: Advancing methodologies for detecting manipulation and deception by autonomous systems.
As a Research Scientist or Engineer, you will collaborate within a dedicated research team, contributing to the direction of research, solving technical challenges, and enhancing the quality of our research outputs.
You will benefit from mentorship by industry experts and have opportunities to engage with renowned researchers in the field.
Candidate Profile
We are looking for individuals with a blend of specific skills, experience, and attitudes suited for either Research Scientist or Research Engineer roles.
For candidates with a stronger engineering focus:
- Extensive experience in producing high-quality code.
- A proven history of designing and maintaining complex technical products or delivering high-quality academic research.
- Demonstrated ability to drive progress, mentor peers, and foster technical excellence.
We are open to hiring individuals at various levels of experience within this team. The final title and compensation will be determined during the recruitment process.
Preferred Qualifications:
- Proficiency in Python programming and familiarity with its best practices and broader ecosystem.
- Research experience, such as a PhD in a relevant technical field or publications in respected conferences.
- Experience working with multidisciplinary teams in leading research environments.
Benefits
The Department for Science, Innovation & Technology offers a competitive benefits package, including:
- Flexible working arrangements.
- Generous pension contributions.
- Increasing annual leave based on tenure.
- Access to professional development opportunities.
- Employee discounts for various services and products.
- Hybrid working policy allowing for a mix of office and remote work.
