At a Glance
- Tasks: Design and develop cutting-edge AI algorithms to advance artificial intelligence.
- Company: Join Google DeepMind, a leader in AI innovation and ethical research.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful research.
- Other info: Collaborate with top experts and work on projects that benefit humanity.
- Why this job: Be at the forefront of AI technology and contribute to meaningful advancements.
- Qualifications: PhD in a technical field or equivalent experience; passion for AI is essential.
The predicted salary is between 60000 - 80000 £ per year.
About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. We’re looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents. Previous experience with Deep RL, planning, LLMs and domain expertise in relevant problems is valued.
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, artificial intelligence 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 Scientist, Discovery Team employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that prioritises ethical advancements in artificial intelligence. Our Research Scientists are empowered to lead groundbreaking projects, with ample opportunities for professional growth and development in a supportive environment. Located in the heart of London, we offer a unique chance to contribute to meaningful scientific discoveries while enjoying the vibrant city life.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Discovery Team
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Google DeepMind on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your algorithm design and programming skills. We should be ready to discuss our past projects and how they relate to the role. Practice explaining complex concepts in simple terms – it shows we can communicate effectively!
✨Tip Number 3
Show our passion for AI! During interviews, let’s share what excites us about artificial intelligence and how we envision contributing to the field. It’s all about demonstrating that we’re not just qualified, but genuinely enthusiastic about the work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how our skills align with the specific needs of the Discovery Team.
We think you need these skills to ace Research Scientist, Discovery Team
Some tips for your application 🫡
Show Your Passion for AI:Let your enthusiasm for artificial intelligence shine through in your application. We want to see how your passion aligns with our mission at Google DeepMind, so don’t hold back on sharing your experiences and insights!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight relevant skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise:When writing your application, clarity is key! We appreciate well-structured documents that get straight to the point. Avoid jargon unless it’s necessary, and make sure your ideas flow logically.
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 Algorithms
Brush up on your knowledge of algorithmic architecture, especially in areas like Deep Reinforcement Learning and LLMs. Be ready to discuss your previous projects and how they relate to the role, showcasing your understanding of these concepts.
✨Showcase Your Research Skills
Prepare to present your research findings clearly and concisely. Think about how you can communicate complex ideas effectively, both verbally and in writing, as this will be crucial in your role at Google DeepMind.
✨Collaborative Mindset
Demonstrate your ability to work collaboratively by discussing past experiences where you engaged with teams or external collaborators. Highlight how you contributed to achieving ambitious research goals and maintained relationships with key individuals.
✨Ethics Matter
Familiarise yourself with the ethical considerations in AI development. Be prepared to discuss how you would work with Ethics and Governance teams to ensure that your research aligns with safety and ethical standards, showing that you prioritise the broader benefits to humanity.
