Research Engineer, Safety Oversight, DeepMind

Requirements

• Bachelor’s degree 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 (LLMs).

Nice to haves

• 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 use AI every day to build and find ways to push the frontier of model capabilities to accelerate work.
• Ability to approach new research questions and implement technical solutions for them.

What you'll be doing

• 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.

Perks and benefits

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.