Research Engineer or Scientist, Veo
Research Engineer or Scientist, Veo

Research Engineer or Scientist, Veo

London Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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DeepMind

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.
  • 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.
  • Other info: Diversity and inclusion are core values; all backgrounds are encouraged to apply.

The predicted salary is between 43200 - 72000 Β£ 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 employer: DeepMind

At Google DeepMind, we pride ourselves on being an exceptional employer, fostering a unique culture that encourages long-term ambitious research and collaboration across disciplines. Our commitment to ethical AI development, combined with opportunities for professional growth and the chance to work alongside leading experts in the field, makes this an ideal environment for Research Engineers and Scientists looking to make a meaningful impact in artificial intelligence. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a supportive atmosphere that values diversity and innovation.
DeepMind

Contact Detail:

DeepMind Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Research Engineer or Scientist, Veo

✨Tip Number 1

Network with professionals in the AI and machine learning fields. Attend conferences, workshops, or webinars related to generative AI, video, and audio synthesis. 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 deep learning frameworks such as Jax, TensorFlow, or PyTorch, especially if it involves generative models. This will demonstrate your practical skills and passion for the field.

✨Tip Number 3

Stay updated on the latest publications in top-tier conferences like NeurIPS, ICLR, and CVPR. Understanding current research can help you discuss relevant topics during interviews and show your commitment to advancing knowledge in AI.

✨Tip Number 4

Prepare to discuss ethical considerations in AI during interviews. Familiarise yourself with the principles of responsible AI development and be ready to share your thoughts on how to balance innovation with ethical implications, as this is a key focus at Google DeepMind.

We think you need these skills to ace Research Engineer or Scientist, Veo

PhD in Computer Science, Artificial Intelligence, or Machine Learning
Deep Learning Research and Development
Generative AI Expertise
Video and Audio Synthesis
Diffusion Models
Autoregressive Generative Models
Exceptional Engineering Skills in Python
Proficiency in Deep Learning Frameworks (e.g., Jax, TensorFlow, PyTorch)
High-Quality Research Prototyping
Strong Publication Record in Top-Tier Conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV)
Large-Scale Training of Multimodal Generative Models
Visual Aesthetics and Detail Orientation
Passion for Creating Visually Compelling Generative Content
Collaboration and Teamwork Skills
Ethical Considerations in AI Development

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your 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 commitment to ethical AI development.

Showcase Your Publications: If you have a strong publication record, summarise your most relevant papers in your application. Highlight any work presented at top-tier conferences like NeurIPS or CVPR, as this will strengthen your candidacy.

Prepare for Technical Questions: Be ready to discuss your technical skills in Python and deep learning frameworks during the application process. Prepare examples of past projects where you implemented cutting-edge algorithms or developed high-quality research prototypes.

How to prepare for a job interview at DeepMind

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to generative AI, video, and audio synthesis. Highlight any significant breakthroughs or contributions you've made, as this will demonstrate your capability and passion for the field.

✨Demonstrate Technical Proficiency

Make sure to brush up on your skills in Python and deep learning frameworks like Jax, TensorFlow, or PyTorch. Be ready to discuss specific algorithms or models you've worked with, and consider bringing examples of your work or prototypes to showcase your engineering skills.

✨Prepare for Ethical Discussions

Since ethics is a priority at Google DeepMind, be ready to engage in conversations about the ethical implications of AI. Think about how your work can benefit humanity and be prepared to discuss how you would approach ethical dilemmas in AI development.

✨Collaborative Mindset

Emphasise your ability to work collaboratively within interdisciplinary teams. Be prepared to share examples of how you've successfully collaborated on research initiatives in the past, as teamwork is crucial in driving ambitious research goals.

Research Engineer or Scientist, Veo
DeepMind
Location: London
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