Senior Graph Machine Learning Engineer

Elemendar | London, Uk / Remote

Date listed

4 weeks ago

Found on:

Responsive image Hacker News

Keywords: node

We are, a fast-growing AI startup in the cyber security space, founded in 2017 at the UK's NCSC Cyber Accelerator. Our current product turns cyber threat reports into machine-readable intelligence, making it faster, cheaper and easier for companies and governments to protect themselves from attacks. We want to build on this and become a leader in the Cyber Threat Intelligence (CTI) market.
We’re looking for a permanent senior Machine Learning Engineer with experience working with graph neural networks (GNNs) to join our growing team and work closely with the CTO to develop and apply techniques to the structured graph of Cyber Threat Intelligence (CTI) produced by our existing products. The role will involve developing and deploying novel graph machine learning algorithms for tasks such as link prediction, node classification, clustering, and subgraph identification on our growing graph of CTI data.
The team has more than doubled this year and we plan to double again next year. We have a mixture of full- and part-time team members, including UK employees as well as contractors (UK & international). We value diversity and welcome candidates from non-traditional backgrounds and under-represented groups in tech. Come and join us!
More info, and apply via:
Feel free to reach out to me (d [ at ] if you have any questions.

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