Frontier Safety Mitigations Engineer - Applied ML Security

Google LLC; Greater London; In loco; GBP 110.000 - 160.000; Tempo pieno

Descrizione del lavoro

DeepMind, London, UK, is seeking a Research Engineer to advance frontier safety mitigations in AI systems. You will design classifiers and data pipelines, build monitoring across contexts, and implement response mechanisms against persistent threats while integrating safety into the research-to-deployment lifecycle.

You will collaborate with software engineers and researchers to push automated red-teaming, threat modeling, and robust defenses in scalable production environments.

Competenze

• Bachelor's degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• 5 years of experience in software development, including experience with Python.
• Experience with the research-to-deployment pipeline in a frontier AI environment.
• Experience working in a software engineering or research team.

Mansioni

• Build advanced classifiers and data pipelines to detect misuse, and own 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.

Conoscenze

Python

Research-to-deploy pipeline

Teamwork

Frontier AI

Cybersecurity

LLM training

TPUs

JAX

Adversarial ML

AI safety

Formazione

Bachelor's degree in Computer Science / ML or related field

Strumenti

TPUs

JAX

Descrizione del lavoro

DeepMind, London, UK, is seeking a Research Engineer to advance frontier safety mitigations in AI systems. You will design classifiers and data pipelines, build monitoring across contexts, and implement response mechanisms against persistent threats while integrating safety into the research-to-deployment lifecycle.

You will collaborate with software engineers and researchers to push automated red-teaming, threat modeling, and robust defenses in scalable production environments.