Research Engineer, Frontier Safety Mitigations, DeepMind

Job description

Minimum qualifications: - 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. Preferred qualifications: - 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. About the job: In this role, you will de-risk model launches by defending against m...