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. - Experience working across the research-to-deployment pipeline in a frontier AI environment. Preferred qualifications: - PhD in Computer Science or Machine Learning, or publications at venues such as 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 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, faithfulness, monitorability, and related frontier safety research. - Background in adversarial machine learning, automated red-teaming, or model interpretability and probes. About the...