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Software Engineer, Numerics

Google DeepMindMountain View, California, US
On-site Full-time

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Qualifications

To excel as a Software Engineer at DeepMind, we seek candidates with the following qualifications:A PhD in Computer Science or a related discipline, with a minimum of 2 years of relevant experience. A robust background in software engineering complemented by research experience. In-depth knowledge of numerics, quantization, and sparsity methodologies. Hands-on experience in deploying low precision and sparse models into production.

About the job

At DeepMind, we believe that Artificial Intelligence has the potential to be one of humanity's most transformative inventions. Our team consists of elite scientists, engineers, and machine learning specialists dedicated to pushing the boundaries of AI technology. We are committed to using our innovations for the greater good, promoting scientific discovery, and collaborating with partners to tackle critical challenges while prioritizing safety and ethics.

About the Role:

This impactful position plays a crucial role in shaping the efficiency of AI model serving through low precision and sparse models. You will be instrumental in driving the hardware roadmap at Google, focusing on innovative numerics that are essential for the future of AI. This is a remarkable opportunity to contribute to an area that is increasingly vital in advancing AI technology.

Your Responsibilities:

  • Determine the precision, numerics, and sparsity formats for production-level AI models.
  • Lead groundbreaking research initiatives and facilitate the transition of high-impact ideas into production environments.

About Google DeepMind

DeepMind is at the forefront of artificial intelligence research, dedicated to creating technology that benefits society. Our collaborative team is composed of top-tier scientists and engineers who strive to set new standards in AI research and applications. By focusing on ethical guidelines and safety protocols, we ensure that our innovations drive positive change and address some of the most pressing challenges faced by humanity.

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