Research Engineer, Frontier Safety Mitigations, DeepMind

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Nice to Haves:

• PhD in Computer Science, Machine Learning, or equivalent practical experience, or publications at venues (e.g., NeurIPS, ICLR, ICML, or EMNLP).
• Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems.
• Experience in adversarial machine learning, automated red-teaming, or model interpretability and probes.
• Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning.
• Experience using AI coding agents with strong architectural judgment and with TPUs and JAX.
• Knowledge of AI control, chain-of-thought monitoring, monitorability, and related frontier safety research.

What You'll Be Doing:

• Build advanced classifiers and data pipelines to detect misuse, owning the end-to-end process from automated evaluation to rapid model iteration.
• Build cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors.
• Implement data-driven, semi-automated account-level response systems to detect, track, and apply strikes against persistent malicious actors using rich signals from production traffic.
• Evaluate and secure agentic AI systems by developing threat models, creating testing environments, and deploying robust mitigations against frontier-level agentic hacking and long-horizon attacks.
• Advance research in automated red-teaming and adversarial robustness, leveraging multi-turn/agentic attacks to systematically test for and uncover misuse vulnerabilities.

Perks and Benefits:

• Opportunity to work with a dedicated scientific community.
• Culture of support, dedication, and teamwork.
• Contribute to DeepMind's Frontier Safety Framework commitments.