Research Engineer, Energy Grids, Sustainability
Google DeepMind · London, UK
CHECKED 6M AGO
Frontier labonsite
At a glance
Highlights
- Solve sequential decision-making under uncertainty for power grids at scale.
- Tackle unit commitment and congestion management for sustainable energy grids.
- Deploy large-scale tests at Google DeepMind and publish with university partners.
Ideal candidate
A research-minded engineer who blends science and software to advance sustainability, excited to solve uncertain grid decisions at scale and share results with the wider community.
Requirements
- Bachelor's degree or equivalent practical experience
- 3 years of experience in reinforcement learning or optimal control
- 3 years of experience in software engineering
- 3 years of experience in Machine Learning (ML)
- Experience working with power grid systems
- Experience with mathematical optimization
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)