ML Hardware Researcher

Epoch is seeking a specialist in computing hardware to lead investigations into HPC computing for AI workloads. This person will collaborate with our team on novel research related to the cost of compute, trends in compute usage and performance, and parallelism techniques and utilization.

Your day-to-day activities will be researching the latest developments in the field, discussing their implications with our team and international experts, and writing reports that inform our research and policy-making all over the world.

An ideal candidate for this role would have deep knowledge of how ML training clusters are built and managed, intellectual curiosity, and be skilled at communicating technical topics clearly. Industry experience or a PhD on a related topic are desirable, though not necessary.

This role is fully remote and we are able to hire in many countries. Apply or learn more about the role here.

On Epoch

Epoch is an independent research organization that is producing world-class research on trends in Machine Learning and the economic consequences of AI.

Our work informs research and policy-making at Anthropic, the Centre for the Governance of AI, the Centre for Data Ethics and Innovation, Open Philanthropy, the Center for Security and Emerging Technology and elsewhere. Epoch’s research is regularly cited in media publications such as the MIT Technology Review, The Economist, Time Magazine, and underpins Our World In Data’s AI visualizations.