At a Glance
- Tasks: Solve complex decision-making problems for power grids using AI and machine learning.
- Company: Join Google DeepMind, a pioneering AI lab focused on global challenges.
- Benefits: Competitive salary, diverse learning opportunities, and a commitment to ethics and safety.
- Other info: Collaborate with top researchers and contribute to the wider research community.
- Why this job: Make a real impact in sustainability while advancing your career in cutting-edge technology.
- Qualifications: Bachelor's degree, experience in reinforcement learning, software engineering, and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
- 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 Deep Mind, 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.
We are pushing the boundaries across multiple domains.
Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Solve sequential decision-making problems under uncertainty for power grids at scale.
- Prepare reports and presentations.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Research Engineer, Energy Grids, Sustainability, DeepMind employer: DeepMind Technologies Limited
At Google DeepMind, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through hands-on opportunities in a fast-paced environment, where you can take on diverse projects and leverage cutting-edge AI tools. With a focus on diversity and inclusion, we ensure that every team member's voice is heard, making it a truly rewarding place to advance your career while contributing to meaningful advancements in artificial intelligence.
Contact Details:
DeepMind Technologies Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Energy Grids, Sustainability, DeepMind
✨Join Engineering Meetups!
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We think you need these skills to ace Research Engineer, Energy Grids, Sustainability, DeepMind
Some tips for your application 🫡
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Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to DeepMind Technologies Limited specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
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How to prepare for a job interview at DeepMind Technologies Limited
✨Brush Up on Core Engineering Principles
Before heading into the interview with DeepMind Technologies Limited, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
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✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.
