FreshRemote.Work

ML Data Engineering and Data Science Intern - Summer 2025 (Remote, US, CAN)

USA CA Remote

CrowdStrike is a global leader in cybersecurity. Our University Program is dedicated to attracting and cultivating the next generation of talent in virtually every field. Our program offers paid positions that allow students and recent graduates to gain real-world experience and develop essential skills while they learn from the best and brightest working professionals. We offer our interns a structured program and supportive environment where they can ignite their passion for the future. Our University Program is designed to provide participants exposure to meaningful work that supports our mission to make the digital world a safer place to live and work. CrowdStrike is where your talent meets cutting-edge tech. Ready to start building a career you can be proud of? Join us!

About the Role 

CrowdStrike’s CTO Labs team works at the exciting intersection of Artificial Intelligence and Machine Learning, Big Data, and Security. We are looking for Data Science and Data Engineering Interns to work within our diverse and multidisciplinary Data Science team, and you’ll have the chance to broaden your horizons by working jointly with a team of Engineering, Big Data, Machine Learning, and Security domain experts on hard and impactful problems. You will gain valuable experience in a fast-paced, high-growth environment.

This  Internship is fully remote and requires no travel. Your work location is the city/town/province you will be working from remotely. For our 12-week internship program, interns are allowed to work remotely from an alternative location for up to 2 weeks. Interns are also invited to work out of the CrowdStrike office located closest to their remote location.

What You'll Do:

  • 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. 

    • Our Data Engineering team is looking for candidates experienced with any high level language such as: Python, Go, JVM Technology and familiarity with Docker, Kubernetes, AWS, GCP, Kafka, ElasticSearch, Cassandra, and Spark

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. 

  • Our Data Science team is looking for candidates experienced in writing python code to pre-process and analyze data to generate actionable insights and is analytically minded with completed coursework in linear algebra and data science or an equivalent knowledge of applied mathematics. 

 

What You’ll Need: 

  • 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

Bonus Points 

  • 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)

#LI-Remote

#LI-AL2

What You Can Expect:

  • Executive Speaker Series & Tech Talks

  • Fun socials and give-back events (e.g. virtual trivia, escape rooms, etc.)

  • Development workshops to grow your soft and hard skills

  • Networking opportunities with fellow interns and CrowdStrikers

  • Owning impactful projects that move the company forward

  • Working alongside a diverse and global team

  • Assigned mentor and continuous feedback

  • Participation in our Employee Resource Groups (ERGs)

  • Access to our FalconFit Wellness Program and Employee Assistance Program

  • Fun Slack channels (e.g. food, gaming, sports, pets, etc.)

  • Paid holidays and 401k matching

  • Remote-first culture

  • Market leader in compensation

CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. The hourly rate for this position is $38 - $55

Expected Close Date of Job Posting is:01-25-2025 Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Alternative location for up to 2 weeks Fully remote Remote Remote-first culture

Benefits/Perks

Development workshops Employee Assistance Program Equal Opportunity and Affirmative Action Executive speaker series Fully remote Fun socials Inclusive culture Market leader in compensation Networking opportunities Opportunity to work in a supportive environment Paid holidays Paid internship Remote-first company Remote-first culture Remote work flexibility Structured program Supportive environment Wellness program

Tasks
  • Analyze data
  • Apply computational and coding
  • Automate and visualize analyses
  • Implement new algorithms
  • Learn about containerization
  • Participate in engineering efforts
Skills

Algorithms Architecture Artificial Intelligence AWS Azure Big Data Cassandra Chef Cloud Cloud Computing Coding COM Containerization Cybersecurity Data engineering Data Science Data storage Distributed architecture Distributed Systems Docker ElasticSearch Engineering GCP GitHub Go Infrastructure Innovation Jenkins JVM Kafka Kubernetes Linux Mac Machine Learning Memcached Microservices Networking Network security NoSQL Open Source PostgreSQL Programming Python R RDBMS Recruiting Redis Research Security Slack Software Spark Support Systems Technical Technology Windows Writing

Experience

0 years

Education

Algorithms AS BE Business Computer Science Cybersecurity Data Science Distributed systems Engineering Equivalent Machine Learning Mathematics Technology

Certifications

Linux

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9