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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

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Data Science Intern - Core AI/ML

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

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • linear algebra
  • calculus
  • statistics
  • machine learning theory
  • applied mathematics
  • object oriented programming
  • data structures
  • algorithms
  • large language models
  • machine learning
  • data generation
  • AI techniques
  • GPU compute clusters
  • AI models
  • Linux
  • cloud computing
  • CI/CD pipelines
  • Docker
  • Kubernetes
  • cybersecurity
  • AI

Soft Skills

  • Analytically minded
  • Passionate
  • research
  • communication

Job Description

As a data science intern you will work closely with senior data scientists, software engineers and product managers to contribute to cutting-edge AI projects and gain hands-on experience with real-world cybersecurity challenges. You'll have access to our large-scale GPU compute clusters to train and experiment with advanced AI models. Conduct cutting-edge research applying the latest AI technologies to real-world cybersecurity challenges. Work directly with Sr. Data Scientists on bleeding edge applications including, but not limited to, training large language models (LLMs), developing graph neural networks, implementing optimization algorithms, and exploring tokenization methods. Leverage large-scale data to develop new algorithms and models for synthetic data generation, predictive systems, and improving threat detection. Automate and visualize processes throughout the AI development pipeline.

Requirements

  • University degree in a field related to Computer Science, Maths, Statistics, Engineering or similar
  • coursework in linear algebra, calculus, statistics, machine learning theory or an equivalent knowledge of applied mathematics
  • writing python code to pre-process and analyze data to generate actionable insights and train AI models
  • Knowledge of object oriented programming, data structures and algorithms
  • Passionate about staying on top of the latest advancements in large language models, machine learning, data generation, and other AI techniques

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • PhD or Master's students
  • contributing to and publishing research in top-tier AI/ML conferences and journals
  • Experience working with large datasets and machine learning models
  • Familiarity with Linux, cloud computing, CI/CD pipelines, Docker, Kubernetes
  • Knowledge of cybersecurity challenges and how AI can be applied to tackle them
  • Willing to learn to contribute to the open source community (GitHub, Stack Overflow, blogging)
▶Apply Now

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