Applied AI Engineer

About the role

On-site AI engineering role for cybersecurity products, building agentic AI, LLM post-training and ML threat detection for SOC, SOAR and SIEM workflows. Requires production-oriented ML/AI experience or a related PhD; salary range is $150,000-$250,000. Posting does not state sponsorship or citizenship requirements.

Requirements

• 5+ years applying ML/deep learning/generative AI to cybersecurity or related fields, and/or PhD in a related technical field
• Production delivery of ML or generative AI solutions end to end
• Understanding of AI agent architectures and frameworks
• Experience with LLM SFT, reinforcement learning, preference optimization and distillation
• Supervised/unsupervised learning, RL, model training and evaluation
• Python and PyTorch
• Databases, large-scale data processing and production ML pipelines

What you'll do

• Build agentic AI systems for SOC/SOAR/SIEM products
• Train and optimize LLMs for security operations
• Develop evaluation frameworks and benchmarks
• Build threat-detection models for malware, phishing and anomalous activity
• Develop security data workflows and model pipelines
• Deploy models into production security products

Where this was posted

• LinkedIn

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