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Position Overview
About the Department for Science, Innovation & Technology
The Department for Science, Innovation & Technology is dedicated to advancing the responsible development of artificial intelligence for the benefit of society. Our mission is to foster a safe and secure AI landscape through rigorous research and collaboration with experts across various sectors.
We are on a quest to build a team of exceptional talent to address the challenges posed by advanced AI systems. As part of our commitment, we are looking for individuals who can contribute to our vision of AI safety and governance.
Key Responsibilities:
- Conduct Evaluative Research: You will engage in foundational research aimed at enhancing our understanding of AI safety cases, contributing to the development of frameworks that ensure AI systems operate safely.
- Innovate AI Governance Tools: Your role will involve creating practical methodologies to assess the societal impacts of AI technologies and develop strategies for effective governance.
- Facilitate Collaboration: Establish and maintain channels for information exchange with national and international stakeholders, including policymakers and research organizations.
What We Value:
- Diversity of Thought: We recognize that diverse perspectives are crucial for innovation and invite individuals from all backgrounds to contribute to our mission.
- Team Collaboration: We prioritize teamwork and open communication, valuing contributions from all team members.
- Impact-Driven Innovation: We are committed to making a tangible difference in AI safety and encourage creative problem-solving.
- Inclusive Culture: We strive to create an environment where all employees feel valued and empowered to express their authentic selves.
Role Description:
As a Machine Learning Safety Specialist, you will be at the forefront of research aimed at developing robust safety cases for AI systems. Your work will involve exploring how safety cases can be structured to mitigate risks associated with AI deployment.
Safety cases serve as essential frameworks in various industries, providing structured arguments that demonstrate the safety of a system in specific contexts. In the rapidly evolving field of AI, these cases are expected to play a pivotal role in ensuring the responsible use of technology.
Your contributions will include both direct research and collaboration with external experts, focusing on critical safety agendas and evaluations. You will have the opportunity to work alongside leading professionals in the field, contributing to the overall strategy and vision of the safety case initiative.
Core Qualifications:
- Experience in machine learning research within industry, academia, or relevant open-source projects.
- Strong understanding of technical safety methodologies.
- Excellent writing and communication skills.
- Ability to work independently and adapt to a dynamic environment.
- Familiarity with large language models and their applications.
Additional Considerations:
- Experience in interdisciplinary teams and a strong publication record in relevant conferences is advantageous.
Working Conditions:
- Flexibility to work remotely with a commitment to collaborative office engagement.
- Access to professional development opportunities and a supportive work culture.
We are looking for individuals who are passionate about advancing AI safety and governance, and who are eager to contribute to meaningful research that shapes the future of technology.
