Lead GenAI Research Scientist

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is seeking a Research Scientist to design and deploy large-scale AI experiments, integrating new theories into practical products and platforms. You will manage deadlines, oversee experiments from concept to delivery, and shape research directions across domains such as machine learning, data mining, NLP, and more.

You will contribute to the broader research community by sharing findings, collaborating with universities and institutes worldwide, and guiding teams toward

Qualifications

• PhD or equivalent research experience in quantitative field.
• Experience leading research projects from ideation to completion.
• Experience with Python and deep learning frameworks (JAX, PyTorch, TensorFlow).
• Experience with peer‑reviewed publications as lead/primary author in AI/ML venues.

Responsibilities

• Define and lead strategic, high-impact research programs advancing AI models and theory.
• Provide technical leadership across multi-disciplinary pods, directing directions and experiments.
• Publish groundbreaking findings in AI/ML venues and journals.
• Collaborate with software engineering, infrastructure, and product teams to translate research into production systems.
• Mentor early-to-mid-career researchers and engineers; foster scientific excellence and ethical AI.

Skills

Python & DL frameworks

Research leadership

Publications

Education

PhD in CS/AI/ML/Applied Math/Computational Neuroscience

Tools

JAX

PyTorch

TensorFlow

Job description

Google DeepMind is seeking a Research Scientist to design and deploy large-scale AI experiments, integrating new theories into practical products and platforms. You will manage deadlines, oversee experiments from concept to delivery, and shape research directions across domains such as machine learning, data mining, NLP, and more.

You will contribute to the broader research community by sharing findings, collaborating with universities and institutes worldwide, and guiding teams toward