Data Scientist, Applied AI/ML

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🇺🇸 United States – Remote

💵 $120k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Develop innovative and efficient solutions to problems in AI safety and cyber detection • Co-develop end-to-end research and development strategies and implementations, including data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering collaboration • Interoperate with product and engineering teams to design and build fit-for-purpose, efficient, computable, and maintainable solutions • Drive innovation in LLM-related research and development with security experts • Manage trade-offs between accuracy, efficiency, and operational costs of deployed AI/ML models • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies • Lead and architect research strategy for new GenAI agents/LLMs and set technical direction • Drive innovation in LLM applications, including reasoning, summarisation, and interactivity • Mentor and guide Data Scientists while fostering 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

🎯 Requirements

• Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field • 5+ years of applied machine learning / research experience • 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: Patents or significant intellectual property contributions in AI • Bonus: Strong research portfolio with publications in leading AI journals and conferences • Bonus: Experience with cybersecurity applications of machine learning • Bonus: Track record of successful research-to-production implementations at scale • Bonus: History of contributions to open-source ML projects

🏖️ Benefits

• 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 • Health insurance • 401k • Paid time off • Bonuses • Equity grants