Google DeepMind Recruitment 2026 | Research Engineer, Energy Grids & Sustainability, DeepMind | London, UK
Google DeepMind is hiring Research Engineers for its Energy Grids & Sustainability team in London, United Kingdom. Candidates with experience in Machine Learning, Reinforcement Learning, Optimal Control, and Software Engineering are encouraged to apply for this exciting research opportunity focused on solving real-world power grid optimization challenges using AI.
Key Information
Details
About Google DeepMind
Google DeepMind is Google's advanced artificial intelligence research organization dedicated to solving intelligence and applying AI to benefit humanity. The organization develops cutting-edge AI technologies across machine learning, reinforcement learning, robotics, natural language processing, scientific discovery, healthcare, sustainability, and many other domains.
The Energy Grids & Sustainability team works on applying AI to solve complex decision-making problems in modern power systems, helping improve grid reliability, efficiency, renewable energy integration, and large-scale optimization. Research Engineers collaborate closely with scientists, engineers, universities, and industry partners to translate research into real-world impact.
Post Overview
| Particular | Details |
|---|---|
| Organization | Google DeepMind |
| Position | Research Engineer – Energy Grids & Sustainability |
| Department | DeepMind |
| Job Location | London, United Kingdom |
| Employment Type | Full-Time |
| Experience Required | Minimum 3 Years |
| Qualification | Bachelor's Degree or Equivalent Practical Experience |
| Application Mode | Online |
Eligibility Criteria
Applicants should possess:
- Bachelor's degree or equivalent practical experience.
- Minimum 3 years of experience in Reinforcement Learning or Optimal Control.
- Minimum 3 years of Software Engineering experience.
- Minimum 3 years of Machine Learning experience.
Preferred Qualifications
- Experience working with power grid systems.
- Experience with mathematical optimization.
Selection Process
The recruitment process generally includes:
- Application Screening
- Recruiter/Hiring Manager Evaluation
- Technical Interviews
- Research & Problem-Solving Assessment
- Final Interview
- Offer Stage
The exact interview process may vary depending on the hiring team and role requirements.
How to Apply
Interested candidates should:
- Visit the official Google Careers portal.
- Open the Research Engineer – Energy Grids & Sustainability job page.
- Sign in with a Google account.
- Complete the online application.
- Upload an updated resume and any required documents.
- Submit the application online.
Why Apply?
- Opportunity to work at Google DeepMind.
- Solve real-world sustainability and energy challenges using AI.
- Work with world-leading AI researchers and engineers.
- Publish research with academic collaborators.
- Contribute to cutting-edge reinforcement learning and optimization research.
- Excellent global career growth and learning opportunities.
Who Can Apply?
Applications are suitable for candidates with backgrounds in:
- Machine Learning
- Artificial Intelligence
- Reinforcement Learning
- Optimal Control
- Computer Science
- Software Engineering
- Applied Mathematics
- Electrical Engineering (Power Systems)
- Related Engineering Disciplines
Candidates should have strong programming and research capabilities along with relevant industry or research experience.
Important Dates
| Event | Date |
|---|---|
| Application Start | Applications Open (Apply Online) |
| Last Date to Apply | Not Specified (Apply as Early as Possible) |
Important URLs
Official Job Page:
https://www.google.com/about/careers/applications/jobs/results/83093570004624070
Google Careers:
https://www.google.com/about/careers/
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