Research Scientist, World Models

Snapshot

Join an ambitious team building generative world models. We believe World Models will power numerous domains such as visual reasoning simulation planning for embodied agents and real-time interactive entertainment. The team will contribute directly to building the next generation of generative world models working directly with the Genie team and closely with others such as Robotics.

About Us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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

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 explore new possibilities for impact with the next generation of models. Embrace the bitter lesson and seek simple methods that survive the test of scale with emphasis on strong systems and infrastructure.

Areas of focus :

• Infrastructure for large-scale video data pipelines and annotation.
• Inference optimization and distillation for real-time generation.
• Scaling law science for video pretraining.
• Next generation forms of interactivity.
• Methods for long term memory in world models.
• Model research that unlocks additional scaling and improved capabilities.

About You

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

In addition the following would be an advantage :

Competitive salary applies.

Key Skills

Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C / C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology

Employment Type : Full Time

Experience : years

Vacancy : 1