Назад
1 день назад

Engineer I, Data Scientist - New Grad (Hybrid)

90 000 - 125 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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

Engineer I, Data Scientist - New Grad (Hybrid) (AI/GenAI): Build intelligent systems that analyze security data at massive scale, including machine learning models and ranking/retrieval systems for next-generation security operations, with an accent on GenAI and LLM projects such as fine-tuning and embedding-based search. Focus on production-ready model development, feature engineering, and writing reliable code for real-time decision making in a cybersecurity environment.

Company

CrowdStrike develops an AI-native cybersecurity platform that helps organizations stop breaches and protect operations.

What you will do

  • Develop, test, and deploy machine learning models that directly impact CrowdStrike products.
  • Apply ML/AI techniques to build accurate models and improve product capabilities and user experiences.
  • Work on GenAI and LLM initiatives, including fine-tuning models and building embedding-based search (RAG/agentic AI workflows).
  • Write production-ready code for real-time decision making and contribute to software quality via automated tests.
  • Participate in architecture, design, and code reviews; collaborate with engineers, data scientists, and product teams.
  • Continuously iterate on solutions through inventive feature engineering and research relevant to AI and cybersecurity.

Requirements

  • Location/Work setup: Hybrid role based in Sunnyvale, CA, requiring 2 days per week on-site.
  • Advanced degree (MS or PhD) in a quantitative field (e.g., statistics, computer science, data science, AI).
  • Strong foundation in machine learning, statistics, or data science.
  • Hands-on experience building GenAI-focused applications using LLMs and agentic AI (agents/reasoning workflows/RAG) and implementing models in deep learning frameworks such as PyTorch or TensorFlow.
  • Proficiency in Python and SQL, plus experience with scikit-learn and forecasting libraries.
  • Ability to write clean, maintainable code and communicate technical ideas clearly.

Culture & Benefits

  • Comprehensive physical and mental wellness programs.
  • Competitive vacation and holidays, plus paid parental and adoption leaves.
  • Professional development opportunities for all employees.
  • Employee networks and volunteer opportunities.
  • Vibrant office culture with world-class amenities.
  • Market-competitive compensation and equity awards.

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