Principal Staff Engineer, AI Platform Research, Data Science

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $210k - $320k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 0%

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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 data platforms and pipelines supporting LLMs, neural networks, RAG, and sophisticated AI agentic systems at Exabyte scale • Drive adoption and deployment of agentic workflows and agent harnessing techniques for autonomous, data-driven security features • Build highly scalable, fault-tolerant, and cost-effective data solutions • Write production-ready code focused on performance, maintainability, and rigorous testing • 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 mechanisms • 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 the end-to-end lifecycle of critical data services, including development, testing, deployment, and monitoring • Stay at the forefront of AI tooling and development standards while driving platform advancements • Ship fast, write elegant high-quality code, and strengthen the team’s technical capabilities

🎯 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, with at least 3 years focused on architecting and building platforms for AI/ML or Data Science at massive scale • Demonstrable hands-on experience in LLM engineering, including fine-tuning, prompt engineering, and deployment • Experience with Retrieval-Augmented Generation (RAG) and developing agentic workflows • Proven track record 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 • Exceptional ability to write clean, elegant, performant, and well-tested code • Ability to leverage AI aided secure code development • Thorough understanding of peer code reviews, resilient architecture design, and comprehensive testing paradigms • Prior experience in a Staff-level engineering role, demonstrating technical leadership and mentorship capabilities • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes • Legal entitlement to work in Canada • Applicants selected to move forward are subject to background checks, including criminal record, credit, and/or reference checks

🏖️ 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 • Variable/incentive compensation • Equity • Benefits