Google DeepMind is seeking a research engineer who blends science and software engineering to tackle sequential decision-making challenges for power grids. You will develop RL/ML approaches, prototype architectures, and report findings to the team.
Work involves designing experiments, validating results, and contributing to scalable solutions with strong collaboration across researchers and engineers to advance energy-grid applications.
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We would love to welcome a new Research Engineer: AI for Power Grid Optimization to our organisation in Greater London, England, United Kingdom.
Consider building your career as a Research Engineer: AI for Power Grid Optimization at Research Engineer, Energy Grids, Sustainability, DeepMind.
The Research Engineer: AI for Power Grid Optimization position in the IT & Technology, Engineering field is open for applications.
We have an opening for a Research Engineer: AI for Power Grid Optimization in Greater London, England, United Kingdom within IT & Technology, Engineering.