Sr. Staff Machine Learning Engineer (Cybersecurity)

TL;DR

Sr. Staff Machine Learning Engineer (Cybersecurity): Building and optimizing an agentic troubleshooting framework and AI-driven anomaly detection systems for a cloud-native security data lake with an accent on GenAI integration, LLMs, and distributed systems. Focus on designing scalable production microservices, optimizing inference, and handling high-volume real-time data pipelines.

Location: Hybrid (San Jose, CA, 3 days a week)

Salary: $154,000 – $220,000 USD

Company

hirify.global is an AI-forward cybersecurity company providing a cloud-native Zero Trust Exchange platform to protect customers from cyberattacks and data loss.

What you will do

• Own the agentic troubleshooting framework, designing workflows and playbooks for all products.
• Integrate state-of-the-art GenAI advances, utilizing LLMs and machine learning models for reliable production features.
• Utilize world-class cloud platforms and data lakes for feature exploration and generation.
• Manage high-volume real-time data pipelines for processing and aggregation.
• Design, implement, and operate scalable production systems, focusing on microservices, orchestration, and caching.

Requirements

• BS in Computer Science with 8+ years of experience, or MS/PhD with 5+ years of experience in AI/ML and distributed systems.
• Proficiency in programming, data structures, and algorithms.
• Hands-on experience with AI modeling, prompt engineering, evaluations, and productionization.
• Expertise in the full ML lifecycle, including deployment, monitoring, and optimization.
• Production-grade coding skills in Python, Go, or Java, and experience with Kubernetes and Docker.
• Must be based in San Jose, CA for a hybrid work schedule (3 days/week).

Nice to have

• Experience fine-tuning and deploying proprietary SLMs/LLMs at scale with a focus on latency and cost.
• Expertise in anomaly detection, event correlation, and incident investigation.
• Ability to implement high-performance, resilient systems with well-defined SLOs.

Culture & Benefits

• Comprehensive and inclusive benefits program tailored to diverse family life stages.
• Culture of execution centered on customer obsession, collaboration, and accountability.
• High-impact environment where trust is built on results and "impact over activity".
• Supportive environment that values growth mindset and continuous development.