Senior Data Scientist, Applied AI/ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Create innovative and effective solutions for AI safety and cyber detection challenges.

• Collaborate on comprehensive research and development strategies that encompass data sourcing, data labeling, advanced modeling, evaluation/benchmarking, and engineering collaboration for product readiness.

• Work alongside product and engineering teams to design efficient, computable, and maintainable solutions tailored for specific purposes.

• Propel innovation in LLM-related research and development with the help of security experts.

• Oversee trade-offs related to accuracy, efficiency, and operational costs of deployed AI/ML models.

• Make strategic choices regarding GenAI model architectures, training methods, and deployment tactics.

• Lead and structure the research strategy for new GenAI agents and LLMs.

• Foster innovation in LLM applications, such as reasoning, summarization, and interactivity.

• Mentor and support Data Scientists while promoting engineering excellence.

• Initiate cross-functional projects and work with senior leadership to ensure alignment of technical strategy with business objectives.

• Represent CrowdStrike’s technical prowess through publications, speaking opportunities, and thought leadership.

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

⛳️ Requirements

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

• Over 7 years of practical machine learning/research experience.

• Proven expertise in developing production-grade models.

• Profound knowledge in LLM training or post-training/deployment at scale.

• Strong technical leadership experience, including mentoring teams and shaping technical strategy.

• Advanced proficiency in Python, deep learning frameworks, and cloud technologies.

• Expert-level knowledge of GPU technologies and optimization techniques.

• Excellent communication skills with the capability to influence senior stakeholders.

• Proven track record of addressing complex technical challenges at scale.

• Bonus: Patents or substantial intellectual property contributions in the field of AI.

• Bonus: Robust research portfolio with publications in top AI journals and conferences.

• Bonus: Experience in the cybersecurity applications of machine learning.

• Bonus: History of successful research-to-production implementations at scale.

• Bonus: Contributions to open-source ML projects.

🏝️ Benefits

• Leader in the market for compensation and equity awards.

• Comprehensive wellness programs for both physical and mental health.

• Competitive vacation and holiday policies for rest and rejuvenation.

• Paid parental and adoption leave.

• Opportunities for professional development available to all employees, irrespective of their level or role.

• Employee Networks, local neighborhood groups, and volunteering opportunities to foster connections.

• Dynamic office culture featuring world-class amenities.

• Health insurance.

• 401k plan.

• Paid time off.

• Bonuses.

• Equity grants.

• Commitment to equal employment opportunities and affirmative action support for veterans and individuals with disabilities.