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Paid Internship
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Time Spent
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12Open Positions

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Applied Machine Learning Internship

CrowdStrike
Found 2 months ago
Location
Bucharest, Romania
Duration (Months)
3 Months
Time
Full-time
Work Mode
Remote
Salary
Paid
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD
  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • Machine Learning
  • AWS cloud stack
  • Sklearn
  • XGBoost
  • Tensorflow
  • Keras
  • Pytorch
  • Git
  • Continuous Integration
  • Docker
  • H100
  • B200 GPU clusters
  • SVM
  • Logistic Regression

Soft Skills

  • Good verbal and written communication skills in English
  • Hands on in your approach to understanding data and learning about new fields
  • Passionate to develop your knowledge and learn new technologies, algorithms and concepts

Job Description

CrowdStrike is looking to fill a Summer 2026 Internship with our Applied Machine Learning team. The team is focused on improving the detection capability and efficiency of the Falcon platform through employing Machine Learning algorithms to detect different types of attacks.  You will have the opportunity to apply your coding and machine learning skills to the bleeding edge of security technology.CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 300 billion behavioral events per day, and have more than 1 petabyte of malware samples in our research repository.We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning and Security domain experts on challenging and impactful problems. You will gain valuable experience in a fast-paced high-growth environment.

Requirements

  • 3rd or final year Computer Science student (also will consider Master/PhD students)
  • Good understanding of basic ML algorithms and techniques and their tradeoffs
  • Experience in writing Python code to pre-process and analyze data to generate actionable insights
  • Hands on in your approach to understanding data and learning about new fields
  • Passionate to develop your knowledge and learn new technologies, algorithms and concepts
  • Experience with working in a Linux environment
  • Good verbal and written communication skills in English

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Hands on experience with traditional Machine Learning libraries (xgboost, sklearn, etc) and/or deeplearning frameworks (Tensorflow, Keras, PyTorch)
  • Good understanding of basic Machine Learning Techniques (SVM, Logistic Regression etc)
  • Security Enthusiast
▶Apply Now

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