At a Glance
- Tasks: Develop cutting-edge AI methods for video and audio generation.
- Company: Join Google DeepMind, a leader in AI research and innovation.
- Benefits: Enjoy a unique culture, collaborative environment, and opportunities for impactful research.
- Other info: Diversity and inclusion are core values; all backgrounds are encouraged to apply.
- Why this job: Be at the forefront of AI advancements with a focus on ethics and public benefit.
- Qualifications: PhD in relevant fields and experience in deep learning and generative AI required.
The predicted salary is between 43200 - 72000 £ 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
The role of the Research Scientist / Research Engineer will be to develop state-of-the-art methods for AI generative media models, with a primary focus on video and audio generation .
At Google DeepMind, we\'ve built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high-profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year!
The Role
Research Scientists and Research Engineers at Google DeepMind lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.
Having pioneered research in the world\'s leading academic and industrial labs, PhDs, post-docs, or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They are expected to drive independent research initiatives, work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.
Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures , our Research Scientists are at the forefront of groundbreaking research.
Key responsibilities:
- Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on video and audio synthesis.
- Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
- Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
About You
In order to set you up for success as a Research Scientist / Engineer at Google DeepMind, we look for the following skills and experience:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
- Proven experience in deep learning research and development, particularly in generative AI and related to video and audio synthesis. This includes diffusion models and autoregressive generative models.
- Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.
- Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).
In addition, the following would be an advantage:
- Demonstrated experience in large-scale training of multimodal generative models.
- A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.
- A real passion for AI!
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. #J-18808-Ljbffr
Research Engineer or Scientist, Veo in London employer: DeepMind
DeepMind is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented individuals. With a strong focus on employee growth, you will have access to cutting-edge resources and opportunities to shape the future of AI coding tools in a vibrant location that encourages creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer or Scientist, Veo 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 DeepMind, 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 DeepMind. 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 Engineer or Scientist, Veo 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 DeepMind. 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 DeepMind. 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 DeepMind
✨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 DeepMind. 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 DeepMind to drive research projects forward.
