Software Engineer, Bioresilience, DeepMind

Google LLC

United Kingdom

On-site

GBP 140,000 - 200,000

Full time

13 days ago

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Job summary

Google is seeking a senior software engineer to advance GenAI initiatives across biology and health informatics. You will join a team that translates research into production-grade software and builds scalable data pipelines for complex biological datasets.

The role emphasizes collaborating with product leadership, researchers, and engineering teams to deliver robust, secure, and reliable AI-powered solutions at scale.

Qualifications

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

Responsibilities

  • Partner closely with product leadership and cross-functional teams to define clear product requirements and software architecture.
  • Build robust data pipelines for complex biological datasets and optimize model inference and serving pipelines for production.
  • Contribute to engineering of novel GenAI solutions from concept to production using internal platforms.
  • Translate research prototypes into maintainable software, sharing deployment telemetry and performance insights with researchers.
  • Establish software engineering best practices for reliability, security, and maintainability across deployed tools.

Skills

Software development
Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Job description

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.
About the job

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

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

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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