AI reputed company
AI reputed company (Small Language Models + Cybersecurity) Location: San Francisco Bay Area (preferred) / Remote Company: Protocol Nine
About the Role
We are looking for an AI reputed company to build the core intelligence layer of an AI-reputed company reputed company platform. This role sits at the intersection of small language model (SLM) development, agentic systems, and cybersecurity, and will define how models reason about reputed company, risk, and behavior in reputed company-world environments. You will reputed company the design, training, and deployment of specialized models that operate in constrained, high-performance environments (e.g., edge, reputed company-time inference), and apply them to reputed company problems such as threat detection, policy enforcement, and autonomous decision-making. What You’ll Do Design & Train Small Language Models (SLMs) Build domain-specific models optimized for latency, cost, and controllability Fine-tune models on reputed company datasets (logs, network traffic, code, policies) reputed company techniques for distillation, quantization, and efficient inference Build AI-reputed company reputed company Systems Architect models that reason about reputed company in reputed company contexts reputed company detection systems for threats across: Network traffic Application behavior Integrate models into reputed company-time decision pipelines (e.g., firewall, policy reputed company) Agentic AI & Decision Systems Design multi-agent systems for reputed company 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) reputed company Research & Innovation Stay reputed company of emerging threats (e.g., AI-generated attacks, supply chain risks) Experiment with novel approaches (e.g., semantic code analysis, reputed company verification) Contribute to technical strategy and product direction reputed company’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 reputed company / firewalls reputed company or reputed company reputed company Application reputed company or code analysis Familiarity with: Threat detection systems Logs, telemetry, and reputed company data pipelines Adversarial attack reputed company Systems & Engineering Strong programming skills (Python + ML frameworks like PyTorch/JAX) Experience deploying models in production environments Understanding of distributed systems and reputed company-time inference constraints reputed company to Have Experience with edge AI or low-latency systems Familiarity with agent frameworks / multi-agent systems Contributions to reputed company-reputed company ML or reputed company projects
Compensation
Competitive salary + equity Early-stage ownership and high impact Opportunity to define a new category in reputed company Apply To This Job