Principal Staff Engineer, AI Platform Research, Data Science (Remote, CAN)
CrowdStrike6 days ago
Remote, CanadaStaff+
Responsibilities
- Architect, implement, and optimize exabyte-scale data platforms and pipelines supporting LLMs, neural networks, RAG, and AI agent systems.
- Drive deployment of agentic workflows and agent-harnessing techniques for autonomous, data-driven security features.
- Build scalable, fault-tolerant, cost-effective, production-ready data solutions with strong performance, maintainability, and testing practices.
- Provide technical leadership in data modeling, normalization, semantic cataloging, MLOps, and DataOps for AI/ML workloads.
- Establish monitoring, observability, and zero-touch recovery practices for AI services.
- Own the full lifecycle of critical data services, including development, testing, deployment, and monitoring.
- Mentor engineers through technical workshops, design reviews, and knowledge-sharing activities.
- 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, or a related STEM field, or equivalent practical experience.
- At least 5 years of progressive Data Engineering or Platform Engineering experience, including at least 3 years architecting and 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 and delivering large-scale distributed systems involving sharding, partitioning, and concurrency.
- Expert-level proficiency in at least one of Python, Go, Rust, or JVM technologies.
- Strong ability to write clean, elegant, performant, and well-tested code and apply resilient architecture and peer-review practices.
- Prior Staff-level engineering experience with technical leadership and mentoring responsibilities.
- Ability to use AI-aided secure code development.
- Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
- Cybersecurity, intelligence, high-compliance, or relevant open-source data or AI/ML experience is preferred.
Benefits
- Remote, Canadian-based employment with a requirement to maintain legal entitlement to work in Canada.
- Base salary of $210,000–$320,000 CAD per year, plus variable/incentive compensation, equity, and benefits.
- Comprehensive physical and mental wellness programs, competitive vacation and holidays, and paid parental and adoption leave.
- Professional development opportunities, employee networks, geographic neighborhood groups, volunteer opportunities, and office amenities.
- Employment is subject to background checks, which may include criminal record, credit, and reference checks.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkAWSDockerGoGoogle BigQueryGoogle Cloud PlatformKubernetesMLflowOracle CloudPythonRustSnowflake
Categories
Data EngineeringML Engineering
About CrowdStrike
CrowdStrike builds the Falcon cloud-native security platform used by enterprises and governments to protect endpoints, cloud workloads, identities, and data with EDR, next-generation antivirus, threat intelligence, and managed threat hunting. Founded in 2011 and publicly traded on NASDAQ as CRWD, the company sells primarily by subscription and also provides incident response services; its systems ingest and analyze nearly 3 trillion security events per day across customer environments.