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Research Engineer, Biosecurity, DeepMind

Google
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London, UKFull-timePosted 2w ago

About the role

Research-focused software engineering role within the DeepMind Biosecurity Initiative at Google, combining frontier ML research with software engineering to build tools, models, and evaluation methodologies that mitigate biological risks and support collaborative research across teams.

Responsibilities

  • Design and implement novel algorithms and machine-learning (ML) methods to address core biosecurity research questions.
  • Contribute to pioneering research on AI and biosecurity, supporting scientific publications and product development aligned with the Biosecurity initiative mission.
  • Collaborate with research scientists and engineers across the initiative and Science and Strategic Initiatives unit to prototype, experiment, and scale AI research using software engineering best practices.
  • Contribute to the design of biological datasets, evaluation methodologies, and infrastructure required to pursue novel research hypotheses.
  • Synthesize complex research findings into clear, actionable reports and presentations for both technical and non-technical stakeholders, delivered through written documentation and verbal briefings.

Qualifications

  • Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, or a related field, or equivalent practical experience.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow, Pytorch).

Skills

Required:Machine learningAlgorithm designData curation / datasetsCommunication
Last updated Oct 23, 2026. Interested? Apply on the company site.

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