How do I apply for the Data Science Intern - Generative AI position at CrowdStrike and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at CrowdStrike paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Data Science Intern - Generative AI role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Data Science Intern - Generative AI at CrowdStrike?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does CrowdStrike provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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.

AI & Machine Learning

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

4Open Positions