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Snapshot

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.

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

Key Responsibilities:

You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference. You’ll be part of a small project team led by Research Engineers, with the partnership with research scientists and significant impact in the short term, and close mentorship from Product Unit leadership.

 

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

  • Generative Media (image, video, and audio)
  • Multimodal Understanding
  • Reinforcement Learning

About You

We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.

 

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

  • BSc, MSc or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
  • Knowledge of machine learning, statistics, and diffusion model theories.  
  • Hands-on experience with training diffusion models
  • Proven experience of Tensorflow or similar ML frameworks (e.g. JAX or PyTorch)
  • Recent experience conducting applied research
  • Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.

 

In addition, the following would be an advantage:

  • Experience in diffusion model latency reduction
  • Experience in controlled media generation
  • Cross functional collaboration experience

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.

 

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