Research Scientist, World Models, DeepMind

Requirements:

• PhD in Computer Science, Machine Learning, a related field, or equivalent practical experience.
• Experience with transformer models or data pipelines.
• Experience in releases, publications, or open source projects related to video generation, world models, multimodal language models, or transformer architectures.
• Experience with systems and engineering in deep learning frameworks such as JAX or PyTorch.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

Nice to Haves:

• Experience building training codebases for large-scale video or multimodal transformers.
• Experience with distillation of diffusion models.
• Expertise optimizing efficiency of distributed training systems or inference systems.

What You'll Be Doing:

As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. You will work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

You will actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

In this role, you will implement core infrastructure and conduct research to build generative models of the physical world. You will 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.

Perks and Benefits:

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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