At a Glance
- Tasks: Lead groundbreaking research in AI and develop novel algorithmic architectures.
- Company: Join Google DeepMind, a leader in AI innovation and research.
- Benefits: Collaborative environment, competitive salary, and opportunities for impactful work.
- Other info: Work with top experts and engage in ethical AI development.
- Why this job: Be at the forefront of AI research and make a difference for humanity.
- Qualifications: PhD in a technical field; passion for AI and relevant experience preferred.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
Research Scientists at Google DeepMind lead efforts in developing novel algorithmic architectures towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the world’s leading academic and industrial labs in PhDs, post‑doc or professorships, Research Scientists join Google DeepMind to work collaboratively within and across research fields. They develop solutions to fundamental questions in machine learning, computational neuroscience and AI. Drawing on expertise from a variety of disciplines including deep learning, reinforcement learning, computer vision, language, neuroscience, safety, control, robotics and multi‑agent, our Research Scientists are at the forefront of groundbreaking research.
Key Responsibilities
- Design, implement and evaluate models, agents and software prototypes of perceptual processing.
- Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals.
- Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
- Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
About You
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
- PhD in a technical field or equivalent practical experience.
- In addition, the following would be an advantage:
- PhD in machine learning, neuroscience or computer science.
- Relevant experience to the position such as post‑doctoral roles, a proven track record of publications, or deep neural network architectures.
- A real passion for AI!
Research Scientists in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer, offering Research Scientists the opportunity to work at the cutting edge of AI research in a collaborative and innovative environment. Our culture fosters continuous learning and growth, with access to world-class resources and mentorship from leading experts in the field. Located in a vibrant tech hub, we provide unique advantages such as interdisciplinary collaboration and a commitment to ethical advancements in technology that benefit humanity.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientists in London
✨Tip Number 1
Network like a pro! Reach out to fellow researchers, attend conferences, and engage in online forums. Building connections can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your work! Create a portfolio or a personal website showcasing your research projects, publications, and any cool algorithms you've developed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your research in detail. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Research Scientists in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share specific examples of projects or research that fuelled your interest in the field. We want to see that spark!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Research Scientist role. Highlight relevant experience, especially in machine learning and neuroscience, and connect it to the responsibilities mentioned in the job description. We love seeing how your background fits with our goals!
Be Clear and Concise:In your written application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that get straight to the point while still showcasing your expertise.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google DeepMind
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to the work at Google DeepMind. This shows your depth of knowledge and passion for the field.
✨Showcase Collaboration Skills
Since teamwork is key in this role, think of examples where you've successfully collaborated with others. Be ready to discuss how you’ve engaged with external collaborators or worked within interdisciplinary teams to achieve ambitious goals.
✨Prepare for Technical Questions
Brush up on your technical skills, especially in areas like machine learning, deep learning, and computational neuroscience. Expect questions that test your understanding of algorithms and models, so practice explaining complex concepts in a clear and concise manner.
✨Emphasise Ethical Considerations
Given the importance of ethics in AI development, be prepared to discuss how you would approach ethical dilemmas in your research. Show that you understand the broader implications of your work and are committed to developing technology that benefits humanity.
