ML Data Engineering and Data Science Intern

6 days ago

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CrowdStrike

WebsiteLinkedInAll Job Openings

Next-Generation Endpoint Protection • Endpoint Detection and Response • Next Generation Anti-Virus • Managed Threat Hunting • Incident Response

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Description

• As a Data Engineer intern you will: • Learn about containerization, microservices, and distributed architecture and understand, provision and maintain new and existing infrastructure. • Participate in engineering efforts to support R&D and machine learning initiatives and work with cutting edge technologies and languages across the entire development stack. • As a Data Science intern you will: • Have the opportunity to apply your computational, coding, mathematical and scientific research skills to solve cutting problems and work directly with Sr. Data Scientists, helping to create and automate predictive machine learning models. • Hone your ability to balance detail-oriented research with goal-oriented business objectives, implement and experiment with new algorithms and methodologies to help improve our machine learning models and automate and visualize analyses, results and processes in our machine learning pipeline.

Requirements

• A rising junior, senior, or graduate-level Computer Science, Data Science, Machine Learning student, graduating between December 2025 to August 2026 • Experience with Language Models, Data Science, and Data Engineering • Hands on in your approach to understanding data and learning about new fields • Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts • Comfortable with either Linux, Windows or Mac • Knowledge of appropriate algorithms to solve complex technical problems • Coursework in data science, linear algebra, or distributed systems • Familiar with software vulnerabilities and secure programming • Familiar with cloud computing platform(s) AWS/GCP/Azure • Experience with AWS, Kafka, Chef, Docker, Kubernetes, Jenkins • Data storage and caching technologies: RDBMS, NoSQL, PostgreSQL, Cassandra, Redis, Memcached • Computer and/or network security experience/understanding • Contributions to the open source community (GitHub, Stack Overflow, blogging)

Benefits

• Remote-friendly and flexible work culture • Market leader in compensation and equity awards • Paid holidays (including birthday holidays) and 401k matching • 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 ERGs, FalconFIT, Wellness Programs, and Employee Assistance Program • Employee Resource Groups, geographic neighbourhood 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