DeepMind is looking to advance the state of the art in artificial intelligence by improving the efficiency of serving AI models through very low precision and sparse models, and to influence the future Google HW roadmap to support forward looking numerics.
Requirements
- Deep understanding of the numerics/quantization/sparsity literature
- Practical experience driving low precision and sparse models through to production
- Strong software-engineering skills in addition to a research background
Responsibilities
- Decide the precision, numerics, and sparsity formats used by production models
- Drive novel research advancements and bringing the most impactful ideas into production
Other
- PhD in Computer Science or related field with at least 2+ years of relevant experience.
