Lead Applied AI/ML Engineer

About

Drive innovative cybersecurity solutions as a Lead Applied AI/ML Engineer. In this hybrid role, you'll develop advanced machine learning models and systems to enhance digital security outcomes.

The position is centered on creating production-grade AI features for a cutting-edge cybersecurity platform. With a minimum of 3 days in the office, you will lead initiatives in model optimization, agent architecture, and deep learning analytics. Your work will focus on proactive threat detection and multi-agent workflow development to ensure robust cybersecurity defenses.

Responsibilities

• Architect autonomous AI systems with tool-calling abilities
• Develop multi-agent workflows for security automation
• Select and optimize language models for applications
• Manage end-to-end machine learning pipelines
• Enhance infrastructure through advanced optimization techniques

Requirements

• Minimum 2+ years in Machine Learning Engineering
• Strong Python skills and knowledge of PyTorch or Tensor Flow
• Experience with LLM development and evaluation
• Familiarity with software engineering practices
• Understanding of deep learning principles and statistical analysis

Shape the future of cybersecurity by leveraging AI/ML technologies to deliver safer digital environments.