Principal Staff Engineer, AI Platform Research, Data Science (AI)

Location: USA - Remote

Base salary: $195,000–$290,000 per year, with eligibility for bonuses, equity grants, and benefits.

Company

Cybersecurity company developing an AI-native platform that protects organizations by processing large-scale security data and preventing breaches.

What you will do

• Architect, implement, and optimize exabyte-scale data platforms and pipelines for LLMs, neural networks, RAG, and AI agents.
• Drive agentic workflows and agent harnessing techniques for autonomous, data-driven security features.
• Build scalable, fault-tolerant, cost-effective data solutions with production-ready code, rigorous testing, and rapid delivery.
• Establish data modeling, normalization, semantic cataloging, MLOps, and DataOps practices for AI/ML workloads.
• Implement monitoring, observability, and zero-touch recovery for AI services.
• Mentor engineers and collaborate with Data Scientists, Product Managers, and engineering teams to productionize research prototypes.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Data Engineering, a related STEM field, or equivalent practical experience.
• 5+ years of progressive Data Engineering or Platform Engineering experience, including 3+ years building AI/ML or Data Science platforms at massive scale.
• Hands-on experience with LLM engineering, including fine-tuning, prompt engineering, deployment, RAG, and agentic workflows.
• Experience designing large-scale distributed systems involving sharding, partitioning, and concurrency.
• Expert-level proficiency in at least one of Python, Go, Rust, or JVM technologies.
• Prior Staff-level engineering experience with technical leadership and mentoring responsibilities.

Nice to have

• Experience in cybersecurity, intelligence, or highly regulated industries.
• Open-source contributions related to data or AI/ML.

Culture & Benefits

• Remote work with flexibility and autonomy.
• Health, physical wellness, and mental wellness programs.
• Competitive vacation and holidays, plus paid parental and adoption leave.
• Professional development opportunities for employees at all levels.
• Employee networks, geographic neighborhood groups, and volunteer opportunities.