Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to innovate in language technology and enhance multilingual capabilities.
- Company: Be part of DeepMind, a pioneering AI lab with a unique culture.
- Benefits: Collaborative environment, diverse learning opportunities, and impactful research.
- Other info: Work alongside leading researchers on groundbreaking projects.
- Why this job: Make a real difference in AI development for a global audience.
- Qualifications: PhD in NLP or ML, Python experience, and a passion for research.
The predicted salary is between 60000 - 80000 £ per year.
Minimum qualifications:
- PhD in Natural Language Processing, Machine Learning, a related field, or equivalent practical experience.
- Experience with Python and neural network training.
- One or more scientific publication submissions for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
Preferred qualifications:
- Experience with Large Language Model (LLM) pretraining, post-training, and inference using multilingual data.
- Experience in innovating on any aspect of LLM design and development to enhance multilingual, cross-lingual, or multicultural capabilities.
- Experience collecting human data for model evaluation.
- Experience considering the implications of new developments in the field of LLMs and LLM-powered agents for a global user base, and a desire to build pioneering language technology to inform, delight, and empower all users.
- Ability to design and implement novel evaluations and perform statistical analysis.
About the job:
At DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking research in language technology with a focus on multilingual and multicultural ability. In this role, you will need to be able to understand and work on promising research directions, and implement them. You will have both theoretical background and experience with neural network training. You will collaborate closely with other leading researchers, contributing to the development of techniques to build language models and applications that respond accurately and appropriately for a global user base.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities:
- Solve new problems/improve performance of existing models, (e.g., improving or evaluating the capabilities of models, or measuring outcomes).
- Develop technical solutions to test these ideas and assess performance.
- Communicate research findings and technical ideas verbally and in writing.
- Contribute to team collaborations to meet research goals.
Research Scientist, Language, DeepMind in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Language, DeepMind in London
✨Tip Number 1
Network like a pro! Reach out to researchers and professionals in the field of Natural Language Processing and Machine Learning. 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 projects, publications, and any innovative work you've done with Large Language Models. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with neural networks and how you've tackled challenges in your previous research.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team at DeepMind. Tailor your application to highlight your passion for multilingual and multicultural language technology.
We think you need these skills to ace Research Scientist, Language, DeepMind in London
Some tips for your application 🫡
Show Off Your Research: Make sure to highlight your PhD and any publications you've got under your belt. We want to see your experience in Natural Language Processing and Machine Learning shine through, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the role. Mention your experience with Python and neural networks, and how it relates to the responsibilities listed. We love seeing candidates who take the time to connect their skills to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your ideas are easy to follow. Use bullet points if it helps to break down your experience and skills!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your knowledge of Natural Language Processing and Machine Learning. Be ready to discuss your PhD research and any publications you've contributed to. This is your chance to showcase your expertise, so don’t hold back!
✨Showcase Your Projects
Prepare to talk about specific projects where you've worked with Python and neural networks. Highlight any experience you have with Large Language Models, especially in multilingual contexts. Concrete examples will help demonstrate your hands-on skills.
✨Think About the Bigger Picture
DeepMind values innovation and ethical considerations. Be prepared to discuss how your work can impact a global user base and the implications of LLM developments. Show that you’re not just focused on the tech, but also on its societal effects.
✨Collaborative Spirit
Since collaboration is key at DeepMind, think of examples where you've worked effectively in a team. Be ready to share how you’ve contributed to group goals and how you communicate complex ideas clearly, both verbally and in writing.