Research Engineer or Scientist, Veo Engineering London, UK; Zurich, Switzerland
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 home office possible
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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.
  • 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.
  • Other info: Diversity is valued; we encourage applicants from all backgrounds.

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.
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Contact Detail:

DeepMind Technologies Limited Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network with professionals in the AI and machine learning fields. Attend conferences, workshops, or meetups related to generative AI, deep learning, and computer vision. Engaging with experts can provide insights into the latest trends and potentially lead to referrals.

✨Tip Number 2

Showcase your projects and research on platforms like GitHub or personal websites. Highlight any work related to video and audio synthesis, as this aligns closely with the role. A strong portfolio can demonstrate your practical skills and passion for AI.

✨Tip Number 3

Stay updated on the latest publications in top-tier conferences such as NeurIPS and CVPR. Understanding current research can help you engage in meaningful discussions during interviews and show your commitment to the field.

✨Tip Number 4

Prepare to discuss ethical considerations in AI during your interviews. Familiarise yourself with the principles of responsible AI development, as this is a key focus at Google DeepMind. Demonstrating awareness of ethics can set you apart from other candidates.

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)
Experience in large-scale training of multimodal generative models
Attention to visual aesthetics and detail
Passion for creating high-quality generative content
Ability to report and present research findings clearly
Collaboration skills to engage in team projects
Understanding of ethical considerations in AI development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in deep learning, generative AI, and any specific projects related to video and audio synthesis. Use keywords from the job description to align your skills with what Google DeepMind is looking for.

Craft a Strong Cover Letter: In your cover letter, express your passion for AI and detail how your background aligns with the role. Mention specific projects or research that demonstrate your expertise in multimodal generative models and your engineering skills in Python and deep learning frameworks.

Showcase Your Publications: If you have a strong publication record, make sure to include this in your application. Highlight your contributions to top-tier conferences and how they relate to the responsibilities of the Research Scientist/Engineer role.

Prepare for Ethical Considerations: Since the role involves collaboration with Ethics and Governance teams, be prepared to discuss how you would approach ethical considerations in AI development. This could be included in your cover letter or during an interview.

How to prepare for a job interview at DeepMind Technologies Limited

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to generative AI, deep learning, and audio/video synthesis. Highlight any significant breakthroughs or publications you've contributed to, as this will demonstrate your expertise and commitment to the field.

✨Demonstrate Technical Proficiency

Make sure you can confidently talk about your engineering skills in Python and frameworks like Jax, TensorFlow, or PyTorch. Consider preparing a brief demonstration of a project or prototype you've built, as practical examples can leave a lasting impression.

✨Engage with Ethical Considerations

Since ethics is a priority at Google DeepMind, be ready to discuss how you approach ethical dilemmas in AI research. Share your thoughts on the societal impacts of AI and how you would ensure that your work aligns with ethical standards.

✨Prepare for Collaborative Discussions

Research Scientists at Google DeepMind often work in interdisciplinary teams. Be prepared to discuss how you collaborate with others, share ideas, and contribute to team goals. Highlight any past experiences where teamwork led to successful outcomes in your research.

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