Research Scientist, Generative Media

Google DeepMind; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading AI research organization in the UK is seeking an experienced Research Scientist to contribute to groundbreaking research in Generative Media. Candidates should hold a Ph.D. in computer vision or machine learning and possess hands-on experience with Python and neural network training. The role involves developing solutions for new problems and engaging with product needs. Competitive compensation and a diverse work environment await the right candidate.

Qualifications

• Proven track record of publications.
• Hands-on experience with Python and neural network training.
• Ability to communicate technical ideas effectively.

Responsibilities

• Come up with ideas to solve new problems in Generative Media.
• Develop technical solutions to test ideas and assess performance.
• Report and present research findings and developments.

Skills

Generative Media

Computer Vision

Python

Neural Network Training

Communication of Technical Ideas

Education

Ph.D. in Computer Vision or Machine Learning

Job description

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.

About Us

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.

The Role

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.

About You

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.

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.

UK Demographic Questions

Google DeepMind is committed to equal opportunity employment regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law. A voluntary self-identification question enables us to monitor and evaluate the effectiveness of our equal opportunities policy within our recruitment process. Your information is used in an aggregated form for these limited purposes and will not form part of your application.