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Paid Internship
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12Open Positions

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Data Science Intern - Generative AI

CrowdStrike
Found 2 months ago
Location
Bucharest, Romania
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Market leader in compensation and equity awards
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • generative AI
  • AI assistants
  • data generation models
  • AI models
  • generative adversarial networks
  • diffusion models
  • reinforcement learning
  • AI agents
  • new algorithms
  • synthetic datasets
  • predictive systems
  • generative AI development pipeline
  • Computer Science
  • Maths
  • Information Systems
  • Engineering
  • linear algebra
  • calculus
  • statistics
  • machine learning theory
  • applied mathematics
  • python
  • AI models
  • object oriented programming
  • data structures
  • algorithms
  • generative adversarial networks
  • diffusion models
  • data generation
  • AI techniques

Soft Skills

  • Analytically minded
  • Passionate about staying on top of the latest advancements
  • Eagerness to learn and experiment

Job Description

You will have the opportunity to apply the latest generative AI technologies to cybersecurity challenges. This includes building AI assistants, data generation models, and more to push the boundaries of AI-powered security. You’ll be able to leverage large-scale rich data to meaningfully improve our AI models and refine our identification of malicious computer software and behavioral threats. Work directly with Sr. Data Scientists on bleeding edge applications of generative adversarial networks, diffusion models, reinforcement learning, and other state-of-the-art techniques. Help create and refine AI agents that can automatically detect and mitigate sophisticated cyber threats. Experiment with new algorithms and models to generate synthetic datasets, power predictive systems, and more. Automate and visualize processes throughout the generative AI development pipeline.

Requirements

  • working towards a University degree in a field related to Computer Science, Maths, Information Systems, Engineering, etc.
  • Analytically minded with completed coursework in linear algebra, calculus, statistics, machine learning theory or an equivalent knowledge of applied mathematics.
  • Experienced in 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 generative adversarial networks, diffusion models, data generation, and other AI techniques.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Nice to Haves

  • PhD or Master’s students in a field related to Computer Science, Maths, Information Systems, Engineering, etc.
  • Experience working with large datasets and neural network architectures.
  • Familiarity with Linux, cloud computing, CI/CD pipelines, Docker, Kubernetes, etc.
  • 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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