Principal Staff Engineer, AI Platform Research, Data Science

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $195k - $290k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Architect, implement, and optimize exabyte-scale data platforms and pipelines supporting LLMs, neural networks, RAG, and AI agentic systems • Drive adoption and deployment of agentic workflows and agent harnessing techniques for autonomous, data-driven security features • Write production-ready, scalable, fault-tolerant, cost-effective, and well-tested code • Provide technical leadership in data modeling, normalization, and semantic cataloging for AI/ML workloads • Establish MLOps/DataOps best practices for LLMs, including monitoring, observability, and zero-touch recovery • Mentor engineers through technical workshops and design reviews • Collaborate with Data Scientists, Product Managers, and engineering teams to transform research prototypes into production-grade services • Own development, testing, deployment, and monitoring across the end-to-end lifecycle of critical data services

🎯 Requirements

• Bachelor’s, Master’s or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience • 5+ years of progressive experience in Data Engineering/Platform Engineering • At least 3 years focused on architecting and building AI/ML or Data Science platforms at massive scale • Hands-on experience in LLM engineering, including fine-tuning, prompt engineering, and deployment • Experience with RAG and developing agentic workflows • Proven experience designing and delivering large-scale distributed systems, including sharding, partitioning, and concurrency • Expert-level proficiency in at least one of Python, Go, Rust, or JVM technologies • Experience with MLflow, SageMaker, Vertex AI, LangChain, or LlamaIndex • Experience with Spark, Dask, or Flink • Experience with AWS, GCP, or OCI and related data services • Experience with Docker and Kubernetes • Experience with Kafka or Pulsar • Experience with Snowflake, BigQuery, Airflow, or Kubeflow • Ability to write clean, elegant, performant, and well-tested code • Ability to leverage AI aided secure code development • Understanding of peer code reviews, resilient architecture design, and comprehensive testing • Prior experience in a Staff-level engineering role • Technical leadership and mentorship capabilities • Experience utilizing AI technologies to enhance decision-making, streamline workflows, improve efficiency, and drive business outcomes • Prior cybersecurity, intelligence, or high-compliance industry experience is a bonus • Open-source data or AI/ML contributions are a bonus

🏖️ Benefits

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Health insurance • 401k • Paid time off • Eligibility for bonuses • Equity grants