Radiant Security is the maker of the industry’s first AI SOC Analyst, which uses Gen AI to emulate the experience, processes, and decision-making of top-tier security analysts. With Radiant, alerts are sent to our AI analyst before they go to the SOC. Each alert is subjected to dozens to hundreds of dynamically selected tests used to determine maliciousness. Within 3 minutes decision-ready results are available that include a detailed incident summary, root cause analysis, and an incident specific response plan. This means, by the time an analyst sees an incident they know if it was real, what happened, what caused it, and have a plan to fix it. After reviewing the report, analysts can respond manually using AI generated, step-by-step instructions on how to respond to this incident, using single-click responses which run over API connections to take corrective actions, or with fully automated response that runs without human intervention. With Radiant, SOC teams detect more attacks, respond more rapidly, and get more done.
As a Machine Learning Engineer at Radiant Security, you'll be instrumental in designing, developing, and deploying sophisticated AI systems. You will work closely with a cross-functional team to build scalable, efficient, and agile ML solutions that leverage the latest in LLMs, RAG, and more. This is a fantastic opportunity to contribute to groundbreaking AI projects and see your work make a tangible impact.
This is a hybrid position and we are attending the offices 3 times a week. We have offices in Pleasanton, California and São Paulo, Brazil.
Radiant Security participates in E-Verify for US employees. We will provide the US Social Security Administration and the US Department of Homeland Security with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.