Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
  
• 2 years of experience in Large Language Model (LLM) modeling, including pre-training or fine-tuning.

Preferred qualifications:

• Experience with JAX or similar distributed training frameworks.
• Experience with running large-scale data processing pipelines.
• Experience collaborating on or leading applied research projects.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• Conduct careful empirical research to validate novel research ideas to improve the performance of Gemini models.
• Develop strong intuitions grounded in data scaling laws and theoretical insights that can lead to research breakthroughs and new model capabilities.
• Propose data curation, generation, and evaluation solutions to address model limitations.
• Propose, build, and rapidly prototype new ideas based on team needs.
• Collaborate closely with the wider Gemini team, including the Model, Infrastructure, and Post-Training teams.