We research and develop cutting-edge machine learning models for billions of Google users. Our current projects include Imagen 3 and Veo. Located in Mountain View, we collaborate with teams around the world, especially Google PAs to iteratively improve the model performance and expand its capabilities

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.

Key Responsibilities:

The Research Scientist role involves applying scientific expertise to advance GDM's mission. You will work independently on research assignments, driving project segments, which involves conducting literature reviews, using scientific methods and independent judgment to develop new methods solving challenging problems, balancing short-term and long-term goals, taking engineering approaches to measure, validate and evaluate the impact of research.

Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:

• Multi-media generation (image, video, and audio)
• Generative models (e.g. autoregressive, diffusion)
• Model optimization
• Reinforcement Learning

We seek out individuals who thrive in ambiguity, approach challenging problems and explore the solution space with curiosity, and take scientific and systematic methods to solve problems. We regularly need to invent novel solutions to problems and deliver impact through research activities, so flexibility and adaptability to balancing short-term and long-term goals is important.

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD degree in computer science, mathematics, applied statistics, machine learning or similar experience working in industry
• A strong publication record on machine learning, statistics, and diffusion model theories and their applications
• Hands-on experience with training diffusion models and other generative models
• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX or PyTorch)
• Recent experience conducting independent research

In addition, the following would be an advantage:

• Experience in diffusion model latency reduction
• Experience in controlled media generation
• Proven experience conducting research in industry

What we offer

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $161,000 - 300,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

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.