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- Tasks: Join a dynamic team to innovate and advance AI technologies, focusing on Gemini Diffusion.
- Company: Google DeepMind is at the forefront of AI research, aiming for public benefit and scientific discovery.
- Benefits: Enjoy a collaborative environment, hands-on experience, and the chance to work on groundbreaking projects.
- Why this job: Be part of a mission to revolutionise generative AI with cutting-edge technology and a supportive team culture.
- Qualifications: Degree in relevant fields and programming skills, especially in Python and machine learning libraries.
- Other info: Diversity is valued; applications close on 18th July 2025.
The predicted salary is between 36000 - 60000 £ per year.
Snapshot
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us
We’re looking for a Research Engineer to help accelerate our research in Artificial Intelligence as part of our mission to create the next generation of Generative AI technologies. Our team has a unique mandate: to work on speculative, longer-horizon research projects that, if successful, yield step-change improvements in the capabilities of our frontier models. We target paradigm-shifting ideas and are prepared to invest the time and resources necessary to achieve them. Our goal is to ideate, research, develop, validate, and integrate these improvements into major Google technologies.
Our primary research focus is Gemini Diffusion , our state-of-the-art text diffusion model. We believe that text diffusion has the potential to unlock a new paradigm in generative AI, offering unprecedented capabilities and lightning-fast latency. With strong backing from GDM leadership, our team is dedicated to thoroughly exploring and advancing this technology.
Our team is a multi-disciplinary group of engineers and scientists that work in close collaboration, leveraging our unique skills with a strong focus on building and shipping ground-breaking AI. We are a problem-focused team, meaning we are interested in any tool or idea that can solve a concrete problem, rather than being tied to a particular set of tools.
The Role
We are looking for a Research Engineer to join our team in London and help us accelerate our mission. As a Research Engineer, you will apply your engineering and research skills to advance paradigm-shifting research at a large scale. You will be at the heart of our efforts to deliver step-changes in the capabilities of our frontier models, with a significant focus on our Gemini Diffusion project. You will work in a tight-knit and highly collaborative team environment that fosters both engineering and research skills, giving you hands-on experience with improving state-of-the-art AI systems. As a team member, your work may involve:
Key responsibilities:
- Brainstorming new disruptive ideas that could become the next generation of frontier AI models, particularly within the text diffusion space.
- Building and developing these ideas with the rest of the team, contributing directly to Gemini Diffusion research.
- Solving key research challenges by designing and executing experimental research on text diffusion models, sharing analyses, and proposing next steps.
- Rigorously validating the performance impact of our work at large scale.
- Working with other Generative AI teams to move the technologies we develop out of the lab and into production.
- Performance engineering, benchmarking, and optimisation, especially for large-scale diffusion models.
- Bringing engineering expertise into our projects. You will share your skills and knowledge with other engineers and researchers. We take engineering standards seriously, and you will be a steward of that ethos.
About You
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- Degree in computer science, electrical engineering, science, mathematics, or equivalent experience.
- Programming experience, particularly with Python-based scientific libraries such as Numpy, Scipy, JAX, PyTorch, or TensorFlow.
- Familiarity with the machine learning, mathematics, and statistics needed to follow relevant research papers (linear algebra, calculus, etc.) and reason about cutting-edge innovations.
- A track record of building software, either in open source or as part of a company product or research paper.
- Agile and solution-focused mindset – be prepared to work on anything!
In addition, the following would be an advantage:
- Academic research experience in machine learning, publications, or research experience in related fields.
- Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding, etc.).
- Large-scale system design, distributed systems.
- Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation).
- C++ or broader programming experience.
- Data engineering and visualisation.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Applications close on Friday 18th July 2025.
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Research Engineer, Gemini Diffusion employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Gemini Diffusion
✨Tip Number 1
Familiarise yourself with the latest advancements in text diffusion models and generative AI. This will not only help you understand the core focus of the Gemini Diffusion project but also allow you to contribute innovative ideas during discussions with the team.
✨Tip Number 2
Engage with the AI research community by attending relevant conferences or webinars. Networking with professionals in the field can provide insights into current challenges and trends, which could be beneficial when brainstorming disruptive ideas for your role.
✨Tip Number 3
Brush up on your programming skills, especially in Python and libraries like PyTorch or TensorFlow. Being proficient in these tools will enable you to hit the ground running and demonstrate your technical capabilities during interviews.
✨Tip Number 4
Prepare to discuss your previous projects or research experiences that align with the responsibilities of the Research Engineer role. Highlighting your problem-solving skills and how you've tackled similar challenges will showcase your fit for the team.
We think you need these skills to ace Research Engineer, Gemini Diffusion
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computer science, engineering, and machine learning. Emphasise any projects or roles where you've worked with Python-based libraries like Numpy, Scipy, or PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and how your skills align with the role of Research Engineer. Mention specific experiences that demonstrate your problem-solving abilities and your familiarity with text diffusion models.
Showcase Your Projects: Include links to any relevant projects or publications in your application. If you've contributed to open-source software or have research papers, make sure to highlight these as they can set you apart from other candidates.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail. Brush up on key concepts in machine learning, statistics, and programming, as you may be asked to solve problems or explain your thought process during interviews.
How to prepare for a job interview at The Rundown AI, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, especially with Python-based libraries like Numpy, Scipy, JAX, PyTorch, or TensorFlow. Highlight any projects where you've applied these skills, as this will demonstrate your capability to contribute to the Gemini Diffusion project.
✨Demonstrate Problem-Solving Abilities
Since the role involves solving key research challenges, come equipped with examples of how you've tackled complex problems in the past. Discuss your approach to experimental research and how you validated your findings, as this aligns with the team's focus on rigorous validation.
✨Emphasise Collaboration and Communication
The team values a collaborative environment, so be ready to share experiences where you've worked closely with others. Highlight your communication skills, whether through presentations, technical writing, or discussions, as these are crucial for sharing ideas and findings within the team.
✨Stay Agile and Open-Minded
The role requires an agile mindset, so express your willingness to work on diverse tasks and adapt to new challenges. Share instances where you've successfully pivoted your approach or embraced new tools to solve problems, showcasing your flexibility and solution-focused attitude.