Snapshot:
Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
About Us:
This is a high impact role that will impact the efficiency of serving through very low precision and sparse models. Additionally, this role will help drive the future Google HW roadmap to support forward looking numerics. This role offers the unique opportunity to address a historically underserved but increasingly critical area in the advancement of AI.
The Role:
This high-impact position is responsible for deciding the precision, numerics, and sparsity formats used by key Google AI models and ensuring these decisions are reflected in the roadmaps for corresponding hardware. You will have the opportunity to influence the very architecture of Google's custom silicon for AI.
- Decide the precision, numerics, and sparsity formats used by production models
- Drive novel research advancements and bringing the most impactful ideas into production
About You:
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- PhD in Computer Science or related field with at least 2+ years of relevant experience.
- Strong software-engineering skills in addition to a research background
- Deep understanding of the numerics/quantization/sparsity literature
- Practical experience driving low precision and sparse models through to production
Skills Required
- PhD in Computer Science or related field
- 2+ years of relevant experience
- Strong software-engineering skills
- Deep understanding of numerics/quantization/sparsity literature
- Practical experience driving low precision and sparse models to production
What We Do
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
