At a Glance
- Tasks: Conduct cutting-edge research in reinforcement learning and implement innovative algorithms.
- Company: Join DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Collaborative environment, diverse learning opportunities, and impactful projects.
- Other info: Be part of a tight-knit team driving significant scientific advancements.
- Why this job: Make a real difference in AI development and tackle global challenges.
- Qualifications: PhD in Machine Learning and experience in reinforcement learning research.
The predicted salary is between 60000 - 80000 £ per year.
Minimum qualifications:
- PhD in Machine Learning, or equivalent practical experience.
- 2 years of experience implementing algorithms within research codebases.
- Experience conducting research in reinforcement learning, including contributions to peer-reviewed publications.
- Experience designing and executing end-to-end experiments, including setup, analysis, and interpretation.
Preferred qualifications:
- Experience with advanced reinforcement learning topics, such as RL for sequence models, post-training, preference-based learning, or agentic systems.
- Familiarity with modern research stacks (e.g., JAX/Flax or PyTorch) and experience scaling experiments.
- Strong experimental judgment, including selecting appropriate baselines and designing insightful ablations.
- Comfort with scaling methodologies, evaluation techniques, and diagnosing complex failure modes.
- High agency and drive to push projects forward, prioritise effectively, and take initiative.
- Excellent communication skills, with a focus on clear and honest presentation of research results.
Responsibilities:
- Propose and pursue novel research directions by formulating and testing hypotheses.
- Implement algorithmic ideas and conduct end-to-end experiments, analysing results and iterating on findings.
- Design evaluations and ablations to answer key questions and drive research decisions.
- Build and improve infrastructure to enable research at scale.
- Communicate research findings through write-ups, presentations, and publications, while fostering a culture of high standards and constructive feedback.
Research Scientist, Reinforcement Learning, DeepMind in London employer: Google
At DeepMind, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our talented teams. Our commitment to employee growth is evident through diverse learning opportunities and the chance to contribute to groundbreaking research in AI, all while ensuring a focus on safety and ethics. Located in a vibrant environment, our researchers enjoy the unique advantage of working on real-world problems that have a meaningful impact on society, alongside some of the brightest minds in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Reinforcement Learning, DeepMind in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Google, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Google. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Research Scientist, Reinforcement Learning, DeepMind in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Google. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Google. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Google
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Google. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Google to drive research projects forward.
