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14 active roles found for Google DeepMind
Senior virologist role on DeepMind's Responsible Development and Innovation team focused on biology evaluations, LLM safety assessments, harm frameworks, and mitigation strategies for safe model releases.
Research engineer role building multimodal reasoning and vision-language systems to assess media trustworthiness, detect manipulated content, and support information literacy; adjacent to AI safety via misuse prevention and evaluation-related work.
Senior role assessing the ethical, societal, and governance impacts of DeepMind AI research, supporting safety reviews, model policy, and stakeholder communications.
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Senior virology and biosecurity role at DeepMind focused on evaluating frontier AI models against biological threats, shaping biosecurity mitigation strategies, and embedding safety protocols into model development.
Lead threat modeling for CBRNe risks in advanced AI systems, building evaluations and safety frameworks to inform deployment decisions and mitigate dual-use misuse.
Lead role at DeepMind focused on threat modeling and safety evaluations for CBRNe risks in advanced AI models, supporting the Frontier Safety Framework and deployment decisions.
Research engineer role at DeepMind focused on frontier AI safety risk assessment, including measuring and mitigating advanced model risks, loss of control, and harmful manipulation.
Technical program management role leading frontier safety operations, safety frameworks, evaluations, and mitigation processes for Google DeepMind’s frontier AI development.
Research engineer role on DeepMind's Frontier Safety Mitigation team building evaluations, red-teaming, monitoring, and mitigations to reduce misuse and dangerous capabilities in frontier AI models.
Research role focused on AI ethics and policy, with responsibilities for identifying AI capability risks and building operational frameworks and evaluation protocols to mitigate model risk.
Senior governance role at DeepMind focused on technical AI governance, standards, government model evaluations, incident disclosure, and translating regulatory developments into launch and compliance practices.
Research Scientist role in Google DeepMind's Frontier AI unit focused on multimodal safety research, AI alignment, behavior assessment, and steering evolving AI systems.
Research Scientist role on the Gemini Safety team focused on improving safety, fairness, adversarial robustness, and evaluation protocols for Gemini models.
Research Engineer in Google DeepMind's Frontier AI unit focused on multimodal human understanding and building defenses against misuse, deepfakes, and impersonation.