Назад
5 дней назад

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

195 000 - 290 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Principal Staff Engineer, AI Platform Research, Data Science (Remote) (LLMs/AI Platforms): Building and deploying massive-scale data platforms and pipelines for LLMs, RAG, neural networks, and autonomous AI agents with an accent on scalability, reliability, and MLOps/DataOps. Focus on designing distributed systems at exabyte scale, developing agentic workflows, and transforming AI research prototypes into production-grade cybersecurity services.

Location: Remote within the United States

Salary: $195,000–$290,000 per year, plus bonus eligibility, equity grants, and benefits.

Company

CrowdStrike is a cybersecurity company providing an AI-native platform for protecting organizations, systems, and data.

What you will do

  • Architect, implement, and optimize exabyte-scale data platforms and pipelines for LLMs, neural networks, RAG, and AI agents.
  • Drive the adoption of agentic workflows and agent harnessing for autonomous, data-driven security features.
  • Build scalable, fault-tolerant, cost-effective, and production-ready data services with rigorous testing and monitoring.
  • Establish data modeling, semantic cataloging, MLOps, and DataOps practices for AI/ML workloads.
  • Mentor engineers through workshops and design reviews while providing hands-on technical leadership.
  • Collaborate with data scientists, product managers, and engineering teams to productionize research prototypes and own services end to end.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Data Engineering, or a related STEM field, or equivalent practical experience.
  • 5+ years of 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.
  • Expertise in at least one of Python, Go, Rust, or JVM technologies, plus experience with cloud, containers, streaming, distributed processing, and data orchestration tools.
  • Prior Staff-level technical leadership, mentoring experience, secure AI-assisted development, and strong software engineering practices.

Nice to have

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

Culture & Benefits

  • Remote work with flexibility and autonomy for U.S.-based employees.
  • Competitive compensation, equity awards, bonuses, health insurance, 401(k), and paid time off.
  • Paid parental and adoption leave, vacation, and holidays.
  • Physical and mental wellness programs and professional development opportunities.
  • Employee networks, neighborhood groups, volunteer opportunities, and office amenities.

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