Data Science Intern Generative AI, Bucharest

About the Role:
CrowdStrikes 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. As a data science intern you will work closely with other scientists software engineers and product managers to provide technical leadership and strategic direction while driving innovation in our AI capabilities.

What Youll Do:

• 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.

• Youll 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.

What Youll Need:

• You should be 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.

Bonus Points:

• PhD or Masters students in a field related to Computer Science Maths Information Systems Engineering etc.

• Eagerness to learn and experiment with generative AI models.

• 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)

#LI-HP1

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

CrowdStrike 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.

CrowdStrike 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.

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