Requirements

• PhD in Machine Learning or equivalent research/industry experience.
• Experience in scripting languages and pipelining tools.
• Experience in programming.
• Quantitative experience in maths and statistics.
• Published work in a ML conference on robustness, or image or video generation or classification.

Nice to haves

• Experience applying machine learning to robust and trustworthy model deployments.
• Experience with image, audio, or text watermarking.
• Demonstrated success in delivering high quality research impact.
• Passion for AI.

What you'll be doing

• Engage with existing research efforts in the Strategic Initiatives Program to tackle key challenges using broad machine learning expertise.
• Collaborate with researchers and machine learning engineers to develop novel ML approaches for meaningful strategic problems.
• Report and present research findings clearly and efficiently, both verbally and in writing, to internal and external audiences.
• Participate in team collaborations to meet research goals within the wider science programme.

Perks and benefits

• Join a mission-driven team accelerating research in trustworthy, robust, and reliable machine learning.
• Work in a supportive, collaborative scientific community focused on solving intelligence and public benefit.
• Access to diverse learning opportunities and varied career pathways across global interdisciplinary teams.
• Contribute to pioneering AI research with a focus on safety, ethics, and societal impact.