Principal Security ML Research Engineer

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Principal Security ML Research Engineer on the Threat Research and Detection Engineering team, you'll play a key role in enhancing the Elastic Security threat protections by developing advanced AI and machine learning solutions. In this position, you will address real-world cyber threats. You will use innovative ML detection techniques and effective workflows. You will also work with a diverse team that focuses on research and community involvement. If you’re a skilled professional ready to shape the future of security analytics, this role invites you to make a tangible impact in the field. What You Will Be Doing Design innovative ML architectures that enhance threat detection and response capabilities. Prototype advanced AI agent workflows to streamline incident investigation processes. Collaborate with cross-functional teams to define project specifications and ensure models are optimized for real-world performance and accuracy. Develop machine learning models aimed at detecting behavioral anomalies in security telemetry. Create techniques for profiling threat actors to better understand and predict their behaviors. Collaborate with stakeholders to refine security use cases, ensuring the applicability of ML models. Build evaluation frameworks to assess ML model performance metrics while developing benchmarking pipelines to