Google DeepMind hiring team of AI researchers to develop generative models to simulate physical world

Google DeepMind is hiring AI research engineers to develop generative artificial intelligence world models to “simulate the physical world”.

Google DeepMind is recruiting a new team of artificial intelligence researchers to develop models that “simulate the physical world”.

The tech giant’s AI lab is currently hiring for the new initiative with Tim Brooks – the former co-lead for OpenAI’s Sora – leading the “ambitious project” to create generative world models that can think and make real-life predictions with plans to use it in video games and robots.

The job description reads: “Join an ambitious project to build generative models that simulate the physical world. We believe scaling pretraining on video and multimodal data is on the critical path to artificial general intelligence. World models will power numerous domains, such as visual reasoning and simulation, planning for embodied agents, and real-time interactive entertainment. The team will collaborate with and build on work from Gemini, Veo and Genie teams, and tackle critical new problems to scale world models to the highest levels of compute.”

The key responsibilities are listed as: “Implement core infrastructure and conduct research to build generative models of the physical world. Solve essential problems to train world simulators at massive scale, develop metrics and scaling laws for physical intelligence, curate and annotate training data, enable real-time interactive generation, and study integration of world models with multimodal language models. Embrace the bitter lesson and seek simple methods that scale, with emphasis on strong systems and infrastructure.”

Google is offering a lucrative salary ranging between $136,000 and $245,000, not including bonuses, equity, and other benefits.