Requirements:

• 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.

Nice to haves:

• Experience with cybersecurity detection and response, building classifiers and anomaly detection systems at scale.
• Experience collaborating on or leading applied ML projects, including LLM training and inference.
• Experience using AI coding agents with strong architectural judgment and with TPUs and JAX.
• Background in adversarial machine learning, automated red-teaming, or model interpretability and probes.
• Knowledge of AI control, chain-of-thought monitoring, faithfulness, monitorability, and related frontier safety research.

What you'll be doing:

• Build advanced classifiers and data pipelines to detect misuse.
• Build cross-context monitoring systems to detect coordinated harms.
• Implement data-driven, semi-automated account-level response systems.
• Evaluate and secure agentic AI systems by developing threat models.
• Advance research in automated red-teaming and adversarial robustness.

Perks and benefits:

• Opportunity to work at Google DeepMind on cutting-edge AI research.
• Diverse learning opportunities and career pathways.
• Focus on safety, ethics, and public benefit in AI development.