Engineer I, Data Scientist - New Grad (Hybrid)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:
CrowdStrike is seeking a highly motivated new graduate to join our NGSIEM Agentic AI team. In this role, you will help build intelligent systems that analyze security data at massive scale. You will contribute to machine learning models, ranking and retrieval systems that power next-generation security operations. Working alongside experienced engineers, researchers, and security experts, you will help transform cutting-edge AI research into production-grade capabilities. This is a unique opportunity to solve challenging real-world problems at the intersection of AI, large-scale systems, and cybersecurity while making a direct impact on protecting organizations worldwide.
 

This is a hybrid role based out of our office in Sunnyvale, CA, requiring 2 days per week on-site.

What You’ll Do: 

• Develop, test, and deploy models that directly impact CrowdStrike products.

• Deploy machine learning techniques to develop highly accurate models

• Solve complex technical problems with a high degree of ownership and autonomy.

• Apply machine learning and AI technologies to improve product capabilities and user experiences.

• Develop automated tests and contribute to overall software quality and reliability.

• Participate actively in architecture, design, and code reviews.

• Continuously learn new technologies, industry trends, and emerging research relevant to AI and cybersecurity.

• Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.

• Contribute ideas and innovations in a fast-paced, customer-focused environment.

• Collaborate with engineers, data scientists, and product teams to build machine learning models and AI-powered capabilities.

• Write production-ready code that can be relied on for real-time decision making by CrowdStrike products

• Achieve success by researching / developing through iteration and inventive feature engineering.

• Opportunity to work with technologies including, but not limited to Python, Go, Blob storage (S3), PyTorch, scikit-learn and SQL

What You’ll Need: 

• Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Data Science,  AI).

• Strong foundation in machine learning, statistics, or data science

• Hands-on school or internship experience with:

  • building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)

  • Have personally implemented models in common Deep Learning frameworks such as PyTorch or TensorFlow.

  • Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.

• Excellent analytical and problem-solving abilities, Machine Learning Concepts

• Experience with Go, Python and common data science tools through coursework, research, internships, or personal projects

• Demonstrated ability to analyze complex problems and build data-driven solutions

• Strong communication skills and ability to explain technical ideas clearly

• Ability to write clean, maintainable code

• Strong attention to detail and curiosity about security problems

• Can work collaboratively with cross-functional teams.

• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:

• Participation in competitive programming (USACO Platinum, IOI Camp, IOI).

• Participation in competitive AI  (USAII, Nova AI, Kaggle).

• Participation in advanced mathematics competitions (USAJMO, USAMO, MOP, IMO).

• Publications or significant Internship in AI and cybersecurity.

#LI-SS1

Benefits of Working at CrowdStrike:

• Market leader in compensation and equity awards

• Comprehensive physical and mental wellness programs 

• Competitive vacation and holidays for recharge  

• Paid parental and adoption leaves

• Professional development opportunities for all employees regardless of level or role

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

• Vibrant office culture with world class amenities

• 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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