At a Glance
- Tasks: Lead research on AI alignment, developing algorithms to ensure safe AI systems.
- Company: Join DeepMind, a leader in transformative AI technology and research.
- Benefits: Competitive salary, collaborative environment, and opportunities for impactful research.
- Other info: Collaborate with top researchers and explore fundamental questions in AI.
- Why this job: Make a difference in AI safety and contribute to socially beneficial technology.
- Qualifications: PhD in a technical field or equivalent experience; passion for AGI safety.
The predicted salary is between 70000 - 90000 £ per year.
About Us
Conducting research into any transformative technology comes with the responsibility to build mechanisms for safe and reliable development and deployment at every step. Alignment research at DeepMind investigates how we can avoid failures of intent alignment, which we operationalize as a situation in which an AI system knowingly acts against the wishes of its designers. We achieve this goal by first understanding and forecasting risks, and then producing and empirically validating algorithm designs and deployment norms that reduce such risks. Proactive research in these areas is essential to the fulfilment of the long-term goal of DeepMind Research: to build safe and socially beneficial AI systems.
Research on technical AI safety draws on expertise in deep learning, reinforcement learning, statistics, and foundations of agent models. Research Scientists work on the forefront of technical approaches to designing systems that reliably function as intended while discovering and mitigating possible long-term risks, in close collaboration with other AI research groups within and outside of DeepMind.
The Role
Alignment Research Scientists at DeepMind lead our efforts in developing novel algorithms and principles towards the end goal of solving AI alignment. Having pioneered research in the world's leading academic and industrial labs in PhDs, Post‑docs or Professorships, Research Scientists join DeepMind to work collaboratively within and across research fields. They develop solutions to fundamental questions in machine learning, AI, and philosophy, drawing on expertise from a variety of disciplines.
Key Responsibilities
- Identify and investigate possible failure modes for current and future AI systems.
- Conduct empirical, conceptual, or theoretical research into technical alignment mechanisms that address these failure modes, in coordination with the team’s broader technical agenda.
- Collaborate with research teams externally and internally to ensure that AI research is informed by and adheres to the most advanced alignment research and protocols.
- Report and present research findings and developments to internal and external collaborators with effective written and verbal communication.
About You
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, computer science, statistics, computational neuroscience, mathematics, or physics.
- Research experience in and / or technical knowledge of AI alignment.
- A real passion for AGI safety.
Research Scientist, Alignment employer: Google DeepMind
DeepMind is an exceptional employer for Research Scientists, offering a collaborative and innovative work culture that prioritises the development of safe and socially beneficial AI systems. Located in a vibrant tech hub, employees benefit from access to cutting-edge resources and opportunities for professional growth through interdisciplinary collaboration with leading experts in AI research. With a strong commitment to employee well-being and a focus on meaningful contributions to transformative technology, DeepMind stands out as a leader in fostering a supportive environment for those passionate about advancing AI safety.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Alignment
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and research community, especially those connected to DeepMind. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, or any relevant work. This is your chance to demonstrate your expertise in AI alignment and technical safety—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI alignment and related fields. Be ready to discuss your past research and how it aligns with DeepMind's mission. Practice articulating your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at DeepMind.
We think you need these skills to ace Research Scientist, Alignment
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI alignment and safety shine through. We want to see that you’re genuinely excited about the work we do at DeepMind and how you can contribute to it.
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the role of Research Scientist. We love seeing how your background in machine learning or statistics can bring value to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be specific about your research interests and how they connect to our mission at DeepMind. We appreciate a personal touch!
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 ensure they get into the right hands. Plus, it shows you’re serious about joining our team.
How to prepare for a job interview at Google DeepMind
✨Know Your Stuff
Make sure you brush up on your knowledge of AI alignment and the latest research in the field. Familiarise yourself with key concepts, methodologies, and any recent breakthroughs that relate to the role. This will not only help you answer questions confidently but also show your genuine interest in the subject.
✨Showcase Your Research Experience
Be ready to discuss your previous research projects in detail. Highlight your contributions, the challenges you faced, and how you overcame them. Use specific examples to demonstrate your expertise in machine learning, statistics, or any relevant technical area, as this will resonate well with the interviewers.
✨Collaborative Spirit
Since the role involves working closely with other teams, emphasise your ability to collaborate effectively. Share examples of past teamwork experiences, focusing on how you contributed to group success and how you handled differing opinions. This will illustrate your fit within their collaborative culture.
✨Communicate Clearly
Practice articulating complex ideas in a clear and concise manner. During the interview, aim to explain your research findings and concepts as if you were presenting to someone outside your field. This skill is crucial for reporting and presenting research, so showcasing it will definitely work in your favour.
