Google

Research Engineer, Multi-Agent Learning, DeepMind

Google
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1 day ago
London, United KingdomStaff+

Responsibilities

  • Develop novel multi-agent learning algorithms and scalable frameworks in JAX.
  • Build and maintain simulation platforms and end-to-end research pipelines for experiments on DeepMind infrastructure and TPU pods.
  • Translate mathematical concepts and research hypotheses into robust, production-quality code and reproducible experiments with Research Scientists.
  • Lead engineering direction for complex research projects, establish code quality and maintainability practices, and mentor junior engineers.
  • Optimize data processing, model training, results analysis, and the broader research workflow.

Requirements

  • Experience in multidisciplinary research, guiding, and mentoring.
  • Machine Learning experience.
  • Preferred: PhD in Computer Science with a strong publication history.

Categories

AI ResearchML Engineering
Google

About Google

10,000+ employees

Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.

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