At a Glance
- Tasks: Lead groundbreaking research in AI and develop innovative algorithmic architectures.
- Company: Join Google DeepMind, a leader in AI research and development.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful work.
- Other info: Collaborate with top researchers and engage in meaningful projects that benefit humanity.
- Why this job: Be at the forefront of AI advancements and contribute to ethical intelligence solutions.
- Qualifications: PhD in a technical field with a passion for AI and relevant research experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 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 commitment to employee growth is reflected in our supportive culture, where team members are encouraged to pursue their passions and engage in meaningful projects that have a positive impact on humanity. Located in a vibrant tech hub, we provide unique advantages such as access to world-class resources and a network of leading experts in various fields.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientists
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects and any relevant work. We recommend having a personal website where you can share your findings and code – it’s a great way to stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past research. We suggest doing mock interviews with friends or colleagues to get comfortable with the process.
✨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 proactive about their job search!
We think you need these skills to ace Research Scientists
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in machine learning, neuroscience, or computer science. We want to see how your background aligns with the role of a Research Scientist, so don’t hold back on showcasing your relevant skills and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for AI and explain why you’re excited about the opportunity at Google DeepMind. We love seeing candidates who can articulate their vision and how they can contribute to our groundbreaking research.
Showcase Your Research:Don’t forget to include details about your research projects, publications, and any collaborations you've been part of. We’re looking for evidence of your ability to design and implement models, so make sure to highlight your contributions and results clearly.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the role and our team there!
How to prepare for a job interview at Google DeepMind
✨Know Your Research Inside Out
Make sure you can discuss your past 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.
✨Prepare for Technical Questions
Brush up on key concepts in machine learning, neuroscience, and AI. Expect questions that test your understanding of algorithms and models. Practising coding problems or discussing recent advancements in the field can give you an edge.
✨Showcase Collaboration Skills
Research Scientists often work in teams, so be ready to discuss your experience collaborating with others. Share examples of how you've successfully worked with interdisciplinary teams or external collaborators to achieve research goals.
✨Emphasise Ethical Considerations
Given the focus on ethical AI development, be prepared to discuss how you approach ethics in your research. Highlight any experience you have working with governance teams or addressing ethical implications in your projects.
