Microsoft Cambridge Residency Programme – Computation Deep Learning 

United Kingdom, England, Cambridge 

893858764

Helia is a research project with the goal of transforming how computation works for Deepearning. By combining a mathematical understanding of deep learning models with hardware and systems knowledge, we develop new methods that enable efficient training and deployment of AI systems, scaling from datacenter-powered AI models to on-device models.

future hardware, including that shipped as Windows Copilot.You can see some of our recent workat top venues

We welcome applicants with either a Deep Learning background or an equivalenttechnical background wishing to move into AI, for example mathematics, physics or engineering.

Required:

• PhD in machine learning, statistics, or a related field, or equivalent experience.

• Strong software skills with a deep learning framework:PyTorchor equivalent

• Experience of best-practice research software development, includingversion control andunit-testing

• The ability to think creatively about deep learningand computation.

• An understanding of thecomputationalimplications of deep learning operations.

• A growth mindset, curiosity about learning new things and a desire to deeply understand AI systems from afirst-principles view.

• Publication record in relevant conferences, such asNeurIPS, ICLR, ICML, etc.

• Expertise in a mathematical aspect of deep learning, for example ODEs, statistical learning theory, optimization, information theory.

• Understanding ofquantization,customizedfloating-pointrepresentations,compression and coding theory

• Experience with CUDA development or equivalent

• Develop and drive an ambitious research agenda inefficient AI

• researchers and software engineers to develop cutting edge methods for efficiency in AI training and deployment

• teams across Microsoft to co-develop methods that improve efficiency across the AI stack, fromhardware development through systems and deployment.