AI Lead

Design & Train Small Language Models (SLMs)

• Build domain-specific models optimized for latency, cost, and controllability
• Fine-tune models on security datasets (logs, network traffic, code, policies)
• Develop techniques for distillation, quantization, and efficient inference

Build AI-Native Security Systems

• Architect models that reason about intent in security contexts

Develop detection systems for threats across:

• Network traffic
• Application behavior
• Integrate models into real-time decision pipelines (e.g., firewall, policy engine)

Agentic AI & Decision Systems

• Design multi-agent systems for continuous monitoring, analysis, and response
• Implement feedback loops between detection, reasoning, and enforcement layers
• Ensure reliability, explainability, and controllability of autonomous systems

Model Infrastructure & Deployment

• Optimize models for edge + distributed environments
• Build evaluation frameworks for adversarial robustness and false positives
• Work closely with engineering to productionize models (APIs, pipelines, scaling)

Security Research & Innovation

• Stay ahead of emerging threats (e.g., AI-generated attacks, supply chain risks)
• Experiment with novel approaches (e.g., semantic code analysis, intent verification)
• Contribute to technical strategy and product direction

What We’re Looking For

Core Requirements

5+ years in machine learning / AI engineering (or equivalent depth)

Hands-on experience training or fine-tuning small or specialized language models

Strong understanding of:

• Transformer architectures
• Model optimization (quantization, pruning, distillation)
• Evaluation and benchmarking

Cybersecurity Experience

Experience in at least one area:

• Network security / firewalls
• Endpoint or cloud security
• Application security or code analysis

Familiarity with:

• Threat detection systems
• Logs, telemetry, and security data pipelines
• Adversarial attack vectors

Systems & Engineering

• Strong programming skills (Python + ML frameworks like PyTorch/JAX)
• Experience deploying models in production environments
• Understanding of distributed systems and real-time inference constraints

Nice to Have

Experience with edge AI or low-latency systems

• Familiarity with agent frameworks / multi-agent systems
• Contributions to open-source ML or security projects

Compensation

• Competitive salary + equity
• Early-stage ownership and high impact
• Opportunity to define a new category in security

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Req ID: R1