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

Crowdstrke
California
Workplace: RemoteFull timeUSD 195,000 - 290,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Mentorship","Code review","Testing rigor","Collaboration"]

Design, build, and optimize large-scale data platforms that power LLMs, neural networks, RAG, and agentic security workflows. Lead hands-on engineering to deploy fault-tolerant, cost-effective data infrastructure at exabyte scale, while establishing MLOps/DataOps best practices for monitoring, observability, and recovery. Provide technical leadership through mentorship, workshops, and design reviews, collaborating with data scientists and product teams to ship production-grade AI services.

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FursaFursa
Crowdstrke
Crowdstrke
3 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 45 minutes agoStatus: Live

Job Summary

Design, build, and optimize large-scale data platforms that power LLMs, neural networks, RAG, and agentic security workflows. Lead hands-on engineering to deploy fault-tolerant, cost-effective data infrastructure at exabyte scale, while establishing MLOps/DataOps best practices for monitoring, observability, and recovery. Provide technical leadership through mentorship, workshops, and design reviews, collaborating with data scientists and product teams to ship production-grade AI services.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Architect, implement, and optimize data platforms and pipelines that support LLMs, neural networks, RAG, and agentic AI systems at exabyte scale.
  • •Drive adoption and deployment of agentic workflows and agent harnessing to create autonomous, data-driven security features.
  • •Lead by example in hands-on engineering of highly scalable, fault-tolerant, cost-effective data solutions with rapid iteration and high-quality deployment.
  • •Establish best practices for MLOps/DataOps for LLMs, including monitoring, observability, and zero-touch recovery for AI services.
  • •Provide technical leadership through mentorship, workshops, and design reviews, and collaborate with data scientists and product managers to ship production-grade services.

Pay and Benefits

Salary: USD 195,000 - 290,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveParental Leave

Key Requirements

  • •5+ years of progressive experience in Data Engineering/Platform Engineering, including at least 3 years architecting and building AI/ML or Data Science platforms at massive scale.
  • •Demonstrable hands-on LLM engineering experience (fine-tuning, prompt engineering, deployment), RAG, and agentic workflow development.
  • •Proven experience designing and delivering large-scale distributed systems (sharding, partitioning, concurrency).
  • •Exceptional ability to write clean, elegant, performant, well-tested code and apply resilient architecture design and comprehensive testing practices.
  • •Prior Staff-level engineering experience with technical leadership and mentorship capabilities.
Experience:5+ yearsAI/MLCybersecurityLarge-scale distributed systemsData engineeringMLOps
Education:Bachelor's in Computer Science, Data Engineering, or related STEM field
Skills:Technical leadershipMentorshipCode reviewTesting rigorCollaboration
Tech Stack:PythonGoRustJVMMLflowSageMakerVertex AILangChainLlamaIndexSparkDaskFlinkAWSGCPOCIDockerKubernetesKafkaPulsarSnowflake

Company Brief

Crowdstrke
Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sunnyvale, United States
Founded: 2011
Glassdoor
Glassdoor: 4.4
WebsiteLinkedIn