At a Glance
- Tasks: Drive groundbreaking research in Generative Media, creating and improving models for images and videos.
- Company: Join Google DeepMind, a leader in innovative AI research with a unique culture.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate with top researchers and contribute to ambitious projects in a dynamic environment.
- Why this job: Be at the forefront of AI technology, making a real impact on the future of media.
- Qualifications: Ph.D. in computer vision or machine learning, with hands-on experience in Python and neural networks.
The predicted salary is between 80000 - 100000 £ per year.
At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated and experienced Research Scientist with strong engineering skills to join our team and contribute to groundbreaking fundamental research and deployment in Generative Media for images, videos and beyond.
Our team aims to build and improve state of the art generative models for images, videos and other modalities. We are interested in candidates with significant hands-on experience in generative modeling techniques and who are familiar with the computer vision domain in general. You will need to be able to understand and work on the promising research directions, and implement them at scale. Therefore, both a strong technical background and hands-on experience with large-scale machine learning is required. You will collaborate closely with other leading researchers, contributing to the development of cutting edge generative models and translating research into products across Google and externally.
We’re looking for a versatile Research Scientist, at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas.
Key responsibilities:- Come up with ideas to solve new problems in Generative Media and improve performance and capabilities of existing models, e.g., developing, improving or evaluating the capabilities of models, or measuring outcomes.
- Develop technical solutions to test these ideas and assess performance.
- Report and present research findings and developments including results clearly and efficiently.
- Contribute to team collaborations to meet ambitious research goals.
- Engage with application and product needs, to inform research decisions.
In order to set you up for success as a Research Scientist at Google DeepMind, we are looking for the following skills and experience:
- Ph.D. in computer vision, machine learning or closely related field.
- A proven track record of publications.
- Hands-on experience with Python and neural network training.
- Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation.
In addition, any of the following would be an advantage:
- Experience with controllable image and/or video generation.
- Good understanding of diffusion models.
- General experience in the computer vision domain.
- Hands-on experience with large scale training of models.
- Experience translating research innovations into product applications.
- Understanding of safety and ethical concerns associated with generative models.
Research Scientist, Generative Media employer: Google DeepMind
At Google DeepMind, we pride ourselves on fostering a unique culture that encourages innovative research and collaboration. As a Research Scientist in Generative Media, you will not only have the opportunity to work alongside leading experts in the field but also benefit from a supportive environment that prioritises employee growth and development. Our commitment to cutting-edge research, combined with our focus on ethical considerations in technology, makes us an exceptional employer for those seeking meaningful and impactful work in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Generative Media
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend conferences, and join online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and research. This is your chance to demonstrate your hands-on experience with generative models and machine learning techniques.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past work and how it relates to the role at Google DeepMind. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Scientist, Generative Media
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with generative modeling techniques and large-scale machine learning. We want to see how your technical background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application:Customise your application to reflect the specific requirements mentioned in the job description. We love it when candidates connect their experiences directly to the responsibilities and skills we’re looking for, so make it personal!
Be Clear and Concise:When writing your application, clarity is key! We appreciate well-structured documents that communicate your ideas effectively. Use bullet points where necessary and keep your language straightforward to ensure your message shines through.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Google DeepMind
✨Know Your Generative Media Inside Out
Make sure you brush up on the latest trends and techniques in generative media. Be prepared to discuss your hands-on experience with generative modelling and how it relates to the role. Familiarise yourself with key concepts in computer vision, as this will show your depth of knowledge.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex research questions or developed innovative solutions. Be ready to explain your thought process and the technical implementation behind your ideas. This will demonstrate your ability to approach new challenges effectively.
✨Communicate Clearly and Confidently
Practice explaining your research findings and technical concepts in a clear and concise manner. Use whiteboard sessions or mock presentations to refine your communication skills. Remember, being able to convey your ideas effectively is just as important as the ideas themselves.
✨Engage with the Team's Goals
Research the team’s current projects and objectives. Be prepared to discuss how your skills and experiences align with their ambitions. Showing that you understand their goals and can contribute to them will set you apart from other candidates.
