5 дней назад
Principal Staff Engineer, AI Platform Research, Data Science (Remote)
195 000 - 290 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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