Senior Staff Machine Learning Engineer

What you'll do

• Set technical direction and lead architecture, design, and code reviews for the engine and its probabilistic ranking and validation systems.
• Build calibration and validation practices using canaries, purple-team exercises, and incident replay; establish production AI safety and governance guardrails.
• Mentor engineers and partner with product, security R&D, and SecOps to turn customer needs into architecture and actionable decisions.

What they ask for

• Experience owning architecture for large systems or multiple teams and delivering production-quality systems.
• Hands-on experience with agentic and LLM systems and probabilistic or ML-driven scoring.
• Command of distributed systems, APIs, cloud-native development, and data or graph systems; expert-level Python and/or Java, Go, or TypeScript.
• Bachelor’s or Master’s degree in a related technical discipline, or equivalent practical experience.

Nice to have

• Applied security experience, such as attack-path analysis, vulnerability management, identity security, threat intelligence, or detection and response.
• Experience with AI-assisted development tools, or AI evaluation, safety, governance, or policy guardrails.

Pay

$201,300 - $352,300 USD base pay

Tools

Python, Java, Go, TypeScript, LLMs, RAG, embeddings, vector search

AI focus

Build an AI/ML-driven security exposure-analysis engine using probabilistic scoring and graph modeling; establish evaluation, calibration, safety, governance, and guardrails for production agentic systems.