Data Scientist, Applied AI/ML

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 Data Scientist to join our team building the next generation of AI/ML technologies. You will work closely with other scientists, software engineers and product managers to provide technical leadership and strategic direction, while driving hands-on-keyboard innovation in our AI capabilities.

You will help shape the technical vision,collaborate with team members, and create impactful LLM-driven applications.This is a unique opportunity to lead groundbreaking developments in AI safety, AI red-teaming, and applied AI deployments that will revolutionize how we interact with AI systems safely. This opportunity is ideal for someone who likes to apply cutting-edge technologies to live cyber-relevant problem sets.

What You’ll Do:

• Work alongside teammates to develop clever, innovative, and efficient solutions to problems in AI safety and cyber detection.

• Co-develop strategies and implementations for end-to-end research and development: data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering collaboration.

• Interoperate with product and engineering teams to ensure that you are designing and building the right solutions: fit-for-purpose, efficient, computable, and maintainable.

• Drive innovation in LLM-related research and development in close collaboration with security experts.

• Intelligently managed trade-offs between accuracy, efficiency, and operational costs of fielded AI/ML models.

• Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies

• Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team

• Drive innovation in LLM applications, including novel approaches to reasoning, summarisation, and interactivity

• Mentor and guide Data Scientists while fostering a culture of engineering excellence

• Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals

• Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership

• Establish best practices, technical standards, and evaluation frameworks for the team

What You’ll Need:

• Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field

• 5+ years of applied machine learning / research experience, with demonstrated expertise in developing production-grade models

• Deep expertise in LLM training or post-training / deployment at scale

• Strong technical leadership experience, including mentoring teams and driving technical strategy

• Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies

• Expert-level understanding of GPU technologies and optimisation techniques

• Outstanding communication skills with ability to influence senior stakeholders

• Track record of solving complex technical challenges at scale

Bonus Points:

• Patents or significant intellectual property contributions in AI

• Strong research portfolio with publications in leading AI journals and conferences

• Experience with cybersecurity applications of machine learning

• Track record of successful research-to-production implementations at scale

• History of contributions to open-source ML projects

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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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