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3 days ago
We are seeking an experienced Lead Machine Learning Engineer to drive the development and implementation of machine learning models for cybersecurity content.
About the RoleThis is a unique opportunity to leverage your expertise in machine learning to enhance our cybersecurity capabilities. As a key member of our team, you will be responsible for leading the fine-tuning and domain adaptation of open-source large language models using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques.
- Key Responsibilities:
- Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files.
- Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into large language models.
- Drive the design and execution of evaluation frameworks specific to cybersecurity tasks, such as classification, summarization, and anomaly detection.
- Own the lifecycle of model development, including training, inference optimization, testing, and deployment.
- Provide technical leadership and mentorship to a team of machine learning engineers and researchers.
- Stay current with advances in large language model architectures, cybersecurity datasets, and AI-based threat detection.
- Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data.
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