- London, Greater London
- Full-Time
- <48 Hours
Research Engineer, Energy Grids, Sustainability, DeepMind.
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Research Engineer, Energy Grids, Sustainability, DeepMind: our view in 3 lines...
- The Role:This role is for a research engineer working on energy grids and sustainability problems at DeepMind.
- The Person:The person will solve sequential decision-making problems under uncertainty for power grids at scale and prepare reports and presentations.
- Requirements:The ideal candidate has a bachelor's degree or equivalent practical experience and 3 years of experience in reinforcement learning or optimal control, software engineering, and Machine Learning (ML).
About the role
Minimum qualifications:
- 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).
Preferred qualifications:
- Experience working with power grid systems.
- Experience with mathematical optimization.
About the job:
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
We are looking for a research engineer (someone who can do both science and software engineering) who can help solve sequential decision making problems under uncertainty for power grids. This can include solving problems like unit commitment or congestion management.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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.
Responsibilities:
- Solve sequential decision-making problems under uncertainty for power grids at scale.
- Prepare reports and presentations.
