How do I apply for the Applied Machine Learning Internship 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 Applied Machine Learning Internship role?

This position is a full-time, structured as a remote role, with an expected duration of 3 months.

What educational background or degree level is required for the Applied Machine Learning Internship at CrowdStrike?

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

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.

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

AI & Machine Learning

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

4Open Positions