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- Tasks: Build cutting-edge infrastructure and conduct research on generative models and video data.
- Company: Join DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Other info: Dynamic environment with opportunities for growth and collaboration with top researchers.
- Why this job: Make a real impact in AI development and solve complex global challenges.
- Qualifications: Bachelor's degree, 2 years of software experience, and knowledge of deep learning frameworks.
The predicted salary is between 100000 - 140000 £ per year.
By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of software development experience using Python or C++.
- Experience with deep learning frameworks (e.g., JAX or PyTorch).
- Experience with analysis and scientific computing libraries (e.g., NumPy, Pandas, and Matplotlib).
Preferred qualifications:
- PhD with a research focus on Machine Learning, Reinforcement Learning, or Multi-Agent Systems.
- Experience training models on accelerators (TPUs, GPUs) in a distributed environment.
- Expertise building and optimizing complex systems in JAX.
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to set up large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
In this role, you will implement core infrastructure and conduct research to build generative models of the physical world. You will solve problems to train world simulators, develop metrics for physical intelligence, curate and annotate training data, and enable real-time interactive generation. Additionally, you will develop methods for systems and infrastructure.
Artificial intelligence will be one of humanity’s most transformative inventions. At 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities:
- Build infrastructure for video data pipelines and annotation.
- Optimize inference and distillation for real-time generation.
- Conduct research for video pretraining.
- Develop next generation forms of interactivity.
- Develop methods for long-term memory in world models.
Research Engineer, World Models, DeepMind in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, World Models, DeepMind in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DeepMind or similar companies. Attend meetups, webinars, or conferences related to AI and machine learning. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, C++, or deep learning frameworks. Share it on platforms like GitHub and make sure it's easy for recruiters to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We recommend using mock interviews to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your application to highlight your experience with generative models and infrastructure development, as these are key for the Research Engineer role.
We think you need these skills to ace Research Engineer, World Models, DeepMind in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python or C++, especially if you've worked with deep learning frameworks like JAX or PyTorch. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention any relevant projects or research that relate to Machine Learning or Reinforcement Learning. It shows us you’re genuinely interested and have done your homework!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python or C++, as well as deep learning frameworks like JAX or PyTorch. Brush up on your knowledge of scientific computing libraries such as NumPy, Pandas, and Matplotlib. Being able to discuss your experience with these tools confidently will show that you're ready for the technical challenges ahead.
✨Showcase Your Research Experience
If you have a PhD or relevant research experience, be prepared to discuss your projects in detail. Highlight any work related to Machine Learning, Reinforcement Learning, or Multi-Agent Systems. This is your chance to demonstrate how your research can contribute to real-world applications at DeepMind.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex problems during the interview. Practice explaining your thought process clearly and logically. Think about how you would approach building infrastructure for video data pipelines or optimising inference for real-time generation. Showing your problem-solving skills will impress the interviewers.
✨Connect with Their Mission
DeepMind is all about pushing boundaries in AI for public benefit. Familiarise yourself with their projects and values, and be ready to discuss how your goals align with theirs. Showing genuine interest in their mission will help you stand out as a candidate who’s not just looking for a job, but is passionate about making a difference.