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Applied Machine Learning Internship - Summer 2026 (Bucharest, ROU)

CrowdStrike

Applied Machine Learning Internship - Summer 2026 (Bucharest, ROU)

CrowdStrike

Romania - Bucharest

·

On-site

·

Internship

·

2w ago

Benefits & Perks

Learning Budget

Mentorship

Remote Work

Flexible Hours

401(k)

Learning

Remote Work

Flexible Hours

401k

Required Skills

Python

Machine Learning

Data Analysis

Linux

About the Role

Crowd Strike 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. Crowd Strike'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.

What You'll Do

  • Work directly with Sr. Applied Machine Learning Engineers, helping to create predictive machine learning models and tooling to improve the existing models so that we will continue to detect and stop today's most sophisticated threats
  • Implement and experiment with new algorithms and methodologies to help improve our machine learning models
  • Automate and visualize analyses, results, and processes in our machine learning pipeline

What You'll Need

  • 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

Bonus Points

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

What We Offer

  • Ongoing learning and development opportunities
  • The opportunity to leverage the AWS cloud stack for extracting features and deploying ML malware classifiers that learn from extremely large amounts of sample files
  • Develop Machine Learning expertise and coding skills - we use Python, Sklearn, XGBoost and related Deep Learning frameworks (Tensorflow, Keras, Pytorch); we use Git versioning control, Continuous Integration and Docker to deploy our models in the cloud
  • Assigned Mentor
  • Virtual/Remote Internship with flexible working hours
  • Global Intern Events, Socials, Swag & International Workshops
  • State-of-the art infrastructure
  • H100, B200 GPU clusters

What You Can Expect

  • Market leader in compensation and equity awards
  • Paid holidays (including birthday holidays) and 401k matching (where applicable)
  • Professional development opportunities including workshops, tech talks, and Executive Speaker Series
  • Assigned mentors from across the company for continuous support and feedback
  • Participation in companywide initiatives including FalconFIT, Wellness Programs, and Employee Assistance Program
  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
  • Vibrant office culture with world class amenities
  • Ownership of impactful projects that move the company forward
  • Great Place to Work Certified™ across the globe

Equal Opportunity

Crowd Strike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. Crowd Strike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

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About CrowdStrike

CrowdStrike

CrowdStrike Holdings, Inc. is an American cybersecurity technology company based in Austin, Texas. It provides endpoint security, threat intelligence, and cyberattack response services.

5,001-10,000

Employees

Austin

Headquarters

$50B

Valuation

Reviews

4.1

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.4

Career

4.1

Management

3.8

78%

Recommend to a Friend

Pros

Great culture and supportive environment

Excellent benefits and competitive compensation

Quality product and industry leadership

Cons

Team silos and communication issues

Job instability and layoffs

High turnover rates

Salary Ranges

2 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Junior/L3 · Data Scientist

0 reports

$236,000

total / year

Base

$160,000

Stock

$60,000

Bonus

$16,000

$200,600

$271,400

Interview Experience

8 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 13%

Neutral 50%

Negative 37%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Hiring Manager Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience