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Software Engineer, Bioresilience, DeepMind

Google
London, GBR
Senior · 8+ years experience
Onsite
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Responsibilities

  • Partner closely with product leadership, external parties (e.g., biosecurity organizations, research institutes, public health authorities) and internal cross-functional teams to navigate ambiguity, deeply understand real-world biological defense challenges, and define clear product requirements and software architecture.
  • Build robust data pipelines for complex biological datasets, implement scalable evaluation frameworks, and optimize model inference and serving infrastructure for production use.
  • Contribute extensively to the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build reliable production applications, agents, and workflows powered by GDM foundation models.
  • Translate experimental research prototypes into maintainable software, sharing deployment telemetry, system performance constraints, and edge cases with core research teams to inform future model development.
  • Set software engineering best practices for applied GenAI systems, focusing on testing, system reliability, security, and maintainability across deployed tools.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.

Preferred qualifications:

  • Experience applying deep learning models to biological data (such as functional genomics or protein sequence data).
  • Experience working with life science data, such as in bioinformatics or health informatics.
  • Ability to identify, break down, and solve ambiguous and complex process and technical problems that span across many teams and organizations.

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