Research Engineer, World Models, DeepMind
Google DeepMind · London, England, United Kingdom
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- On site
- Full-time
- $175,000 / year
- London, England, United Kingdom
Job highlights
- Implement infrastructure for world models.
- Conduct research in generative AI.
- Develop next-generation interactivity.
- Work on AI for global challenges.
- Publish research and partner with universities.
About the role
About The Job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup 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 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
- 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.
Key skills/competency
- Research Engineer
- DeepMind
- Generative Models
- World Models
- AI Development
- Machine Learning
- Reinforcement Learning
- JAX
- Python
- C++
Skills & topics
- Research Engineer
- DeepMind
- AI
- Machine Learning
- Deep Learning
- Generative Models
- World Models
- Python
- C++
- JAX
- PyTorch
- Reinforcement Learning
- Software Development
- Research Scientist
How to get hired
- Tailor your resume: Highlight Python/C++ development, deep learning frameworks, and AI research experience.
- Showcase your projects: Detail contributions to complex systems, especially in JAX, and experience with accelerators.
- Prepare for technical interviews: Brush up on machine learning, reinforcement learning, and system design principles.
- Research DeepMind's work: Understand their focus on AI for good, safety, and ethics to align your answers.
- Express your passion for research: Emphasize your interest in publishing and contributing to the academic community.
Technical preparation
Master Python/C++ and deep learning frameworks.,Practice JAX for complex system optimization.,Study distributed training on accelerators.,Review AI, ML, and RL concepts thoroughly.
Behavioral questions
Describe a challenging research problem you solved.,How do you collaborate on complex projects?,Share an experience publishing research findings.,Discuss your approach to AI safety and ethics.
Frequently asked questions
- What are the minimum qualifications for the Research Engineer role at Google DeepMind?
- The minimum qualifications include a Bachelor's degree or equivalent practical experience, two years of software development experience in Python or C++, and familiarity with deep learning frameworks like JAX or PyTorch, along with analysis libraries such as NumPy, Pandas, and Matplotlib.
- What is the preferred qualification for the Research Engineer position at Google DeepMind?
- Preferred qualifications include a 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, and expertise in building and optimizing complex systems in JAX.
- What kind of research will I be conducting as a Research Engineer at Google DeepMind?
- As a Research Engineer, you will implement core infrastructure and conduct research to build generative models of the physical world. This includes training world simulators, developing metrics for physical intelligence, curating training data, and enabling real-time interactive generation.
- Does Google DeepMind encourage publishing research?
- Yes, Google DeepMind encourages its engineers to stay connected to their research roots by partnering with universities and publishing papers, contributing to the wider research community.
- What are the working location options for this Research Engineer role?
- You will have the opportunity to share your preferred working location from London, UK or New York, NY, USA.
- Can you provide details on the salary for the Research Engineer position?
- The US base salary range for this full-time position is $147,000-$211,000, plus bonus, equity, and benefits. The exact salary is determined by role, level, location, and other factors.
- What is the work arrangement for this Research Engineer role at Google DeepMind?
- The job description implies flexibility with preferred working locations in London or New York, suggesting a potential for hybrid or on-site work arrangements, though it is not explicitly stated. Candidates will be informed about specific arrangements during the hiring process.
- What kind of projects are Research Engineers involved in at Google?
- Research-focused Software Engineers at Google work on a variety of real-world problems, including artificial intelligence, data mining, natural language processing, hardware/software performance analysis, compiler improvements, and core search, often leading to large-scale tests and broad deployment of ideas.