Research Scientist, Safety Oversight, DeepMind

• Build classifiers and large-scale data pipelines to detect model misbehavior and misuse end-to-end.
• Research and develop cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors.
• Think critically about novel methods for monitoring using model activations, actions, chains-of-thought and final answers.
• Collaborate closely with infrastructure teams and data scientists to scale your work and regularly share results with the wider safety team.

Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
• 3 years of experience building and shipping technical products.
• Experience in the domain area of generative AI and Large Language Models (LLM).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience developing code, running experiments and analyses collaboratively with coding agents.
• Experience building large-scale, highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling.
• Ability to approach new research questions and implement technical solutions for them at scale.
• Ability to use AI every day to build and find ways to push the frontier of model capabilities to accelerate work.

• PhD in Computer Science, a related field, or equivalent practical experience.
• 3 years of experience building and shipping technical products.
• Experience in the domain area of generative AI and Large Language Models (LLM).