GenAI Research Scientist — Lead AI Foundations & Systems

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind in Mountain View, CA seeks a Share Research Scientist in GenAI to drive large-scale AI research initiatives. You will design, run and scale experiments, pushing state-of-the-art for real-world products and platforms while ensuring safety and ethical standards.

You will publish in premier AI/ML venues, collaborate across engineering, infrastructure, and product teams, and mentor promising researchers in a dynamic, global lab environment.

Qualifications

• PhD in Computer Science, AI, ML, applied mathematics, computational neuroscience, or related quantitative field, or equivalent research experience.
• Experience leading research projects from ideation to completion, including managing roadmaps and experimental workflows.
• Proficiency in Python and DL frameworks (JAX, PyTorch, TensorFlow).
• Peer-reviewed publications as lead or primary author in AI/ML venues (NeurIPS, ICML, ICLR, CVPR, ACL, Nature, Science).

Responsibilities

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

Skills

Python

Deep learning

Research leadership

Publications

Education

PhD in CS/AI or related field

Tools

JAX

PyTorch

TensorFlow

Job description

Google DeepMind in Mountain View, CA seeks a Share Research Scientist in GenAI to drive large-scale AI research initiatives. You will design, run and scale experiments, pushing state-of-the-art for real-world products and platforms while ensuring safety and ethical standards.

You will publish in premier AI/ML venues, collaborate across engineering, infrastructure, and product teams, and mentor promising researchers in a dynamic, global lab environment.