Research Engineer or Scientist, Veo Engineering London, UK; Zurich, Switzerland

Research Engineer or Scientist, Veo Engineering London, UK; Zurich, Switzerland

London Full-Time 43200 - 72000 £ / year (est.) No working from home possible
DeepMind Technologies Limited

At a Glance

  • Tasks: Develop cutting-edge AI generative media models, focusing on video and audio generation.
  • Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
  • Benefits: Enjoy a unique work culture, collaboration opportunities, and the chance to make a real impact.
  • Other info: Diversity is valued; we encourage applicants from all backgrounds.
  • Why this job: Be at the forefront of groundbreaking research in AI with a passionate interdisciplinary team.
  • Qualifications: PhD in relevant fields and proven experience in deep learning and generative AI required.

The predicted salary is between 43200 - 72000 £ per year.

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 forAI 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.

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Research Engineer or Scientist, Veo Engineering London, UK; Zurich, Switzerland employer: DeepMind Technologies Limited

At Google DeepMind, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our Research Engineers and Scientists to push the boundaries of artificial intelligence. With a commitment to ethical practices and public benefit, we offer unparalleled opportunities for professional growth, access to cutting-edge resources, and the chance to work alongside some of the brightest minds in the field, all within the vibrant tech hubs of London and Zurich.

DeepMind Technologies Limited

Contact Details:

DeepMind Technologies Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Engineer or Scientist, Veo Engineering London, UK; Zurich, Switzerland

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 Technologies Limited, 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 Technologies Limited. 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 Engineering London, UK; Zurich, Switzerland

PhD in Computer Science, Artificial Intelligence, Machine Learning, or Computer Vision
Proven experience in deep learning research and development
Expertise in generative AI, particularly in video and audio synthesis
Familiarity with diffusion models and autoregressive generative models
Exceptional engineering skills in Python
Proficiency in deep learning frameworks such as Jax, TensorFlow, and PyTorch
Strong publication record at top-tier conferences (e.g., NeurIPS, ICLR, ICML)

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 Technologies Limited. 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 Technologies Limited. 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 Technologies Limited

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 Technologies Limited. 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 Technologies Limited to drive research projects forward.