Curated AI safety and governance jobs

Software engineering role on Perplexity’s Model Behavior team focused on prompt/context engineering, model behavior shaping, failure-mode analysis, and some evaluation work for LLM systems.

Lead role overseeing GenAI safety research and delivery, including adversarial testing, risk evaluations, red teaming methodology, and client-facing safety deliverables.

Research scientist role on DeepMind’s Safety Oversight team focused on monitoring deployed AI models for safety and alignment, detecting misuse and misbehavior, and building automated evaluation and monitoring systems.

Senior virology role focused on biosecurity mitigation, safety frameworks, and advanced evaluations for frontier AI models to prevent biological misuse.

Research Scientist role focused on AI evaluation, language model understanding, robustness, red teaming, and alignment for LLM evaluation infrastructure.

Fixed-term senior policy and partnerships role leading UK and Europe national security strategy for DeepMind, with direct responsibility for AI safety, security, governance, and responsible AI policy engagement.

Senior solution architecture role for OneTrust’s AI-Ready Governance Platform, focused on AI Governance and Compliance solutions, governance controls, and scalable enterprise architectures.

Senior customer-facing product specialist role leading AI governance initiatives, shaping AI governance/Responsible AI product strategy, and translating AI regulations and risk requirements into enterprise product capabilities.

Senior customer-facing product specialist role leading AI Governance initiatives, with responsibilities spanning responsible AI, AI risk management, AI compliance, governance workflows, model oversight, and regulatory translation for enterprise AI adoption.

Senior policy role translating AI safety research into diplomatic and policymaker-facing materials, with direct focus on AI governance, regulations, and standards in Korea and Japan.

Senior research manager for an AI safety organization, leading empirical deep learning research on LLMs and multimodal models, managing researchers, and contributing to safety-focused papers.

Infrastructure engineer for Anthropic’s Safeguards research team, building tooling, pipelines, and evaluation/scoring workflows that support misuse detection and safety research for frontier AI systems.

Lead role focused on frontier AI risk intelligence, abuse/misuse detection, risk frameworks, and mitigation guidance to improve safety readiness for OpenAI products.

Research Engineer role focused on safety oversight for deployed generative AI models, including automated evaluations, misuse detection, and monitoring model behavior at scale.

Research engineer role on DeepMind's Safety Oversight team focused on monitoring deployed model safety and alignment, building classifiers and data pipelines to detect misbehavior, misuse, and coordinated harms.

Cybersecurity Engineer building infrastructure and tooling for AI security evaluations, adversarial testing, and attack simulations to assess and improve the resilience of AI-powered systems.

Research software engineer role on the Safety team building secure infrastructure for sensitive model evaluations, including dangerous-capability domains, to support release decisions for models.

Senior research scientist role focused on AI safety evaluations, red-teaming, and technical research to quantify and mitigate AI risks in high-impact domains.

Research engineer role on DeepMind’s AGI Safety and Alignment Team, focused on alignment methods, adversarially robust control systems, and interpretability for frontier AI models.