Principal Machine Learning Engineer

What you'll do

• Define modeling, architecture, and engineering direction for exploitability-driven security across multiple teams.
• Build and apply AI/ML to cybersecurity products, including attack-path probability, security scoring, and agentic systems.
• Represent the technology to stakeholders and mentor senior engineers while setting production standards for AI safety and reliability.

What they ask for

• 15+ years of software engineering experience, including significant technical and engineering leadership responsibility.
• Production experience designing and delivering AI/ML-powered products and platforms, including modern AI/ML and probabilistic or ML-driven scoring.
• Expert-level Python; command of distributed systems, APIs, cloud-native platforms, and data or graph systems.
• Bachelor’s or Master’s degree in a related technical discipline, or equivalent practical experience.

Nice to have

• Applied cybersecurity expertise, such as threat detection, vulnerability and exposure management, identity security, or risk prioritization.
• Experience with Java, Go, or similar languages; probabilistic modeling or graph analytics.

Pay

$240,100 - $420,200 USD base salary

Tools

Python, LLMs, foundation models, RAG, Java, Go, MLOps, Cursor

AI focus

Develops AI/ML-powered cybersecurity products focused on exploitability analysis and risk scoring, and sets direction for agentic systems, AI safety, governance, and AI-native engineering workflows.