Description

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience building software, tools, or models (e.g., open-source contributions, internal tools, or model releases).
• 2 years of experience with JAX, PyTorch, or TensorFlow.

Preferred qualifications:

• Experience with distributed training and performance profiling.
• Excellent communication skills with the ability to influence both internal stakeholders and the broader research community.

About the jobArtificial 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.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google.

Responsibilities

• Design, implement, and evaluate complex deep learning models. Build the prototypes that prove the theory.
• Publish high-quality research at venues (NeurIPS, ICML, ICLR, etc.) while maintaining a focus on tangible algorithmic improvements.

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Requisition #: 132522703104942790

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