As a premier force in cybersecurity, CrowdStrike is dedicated to safeguarding the essential people, processes, and technologies that fuel contemporary organizations. Since our inception in 2011, our unwavering mission has been to halt breaches while revolutionizing security through the world’s most sophisticated AI-native platform. We cater to a diverse array of industries, and our clients rely on us to ensure their operations continue seamlessly, their communities remain secure, and their lives progress with confidence. At CrowdStrike, we pride ourselves on being a mission-oriented organization, embracing a culture that empowers every member of our team with the freedom and autonomy to shape their careers. We are constantly in search of driven individuals who embody limitless enthusiasm, unwavering innovation, and a deep commitment to our customers, community, and each other. Are you ready to contribute to a mission that truly matters? The future of cybersecurity awaits your expertise.

About the Opportunity:
CrowdStrike is on the lookout for a skilled Senior Data Scientist to join our growing Data Science division. In this role, you’ll spearhead avant-garde AI/ML research projects that blend cybersecurity with state-of-the-art machine learning, emphasizing mechanistic explainability, self-supervised learning, representation learning, and groundbreaking advancements that reach beyond existing generative AI frameworks.

At CrowdStrike, you’ll experience unique benefits that merge in-depth research with significant industry implications. You’ll gain access to extensive proprietary datasets that are exclusive to us, advanced GPU computing resources capable of supporting our proprietary LLM training efforts, and the chance to see your research make a tangible impact on pressing cybersecurity challenges. Join a pioneering team that is at the cutting edge of generative AI solutions, while also playing a crucial role in shaping the future of AI innovation. We cultivate an atmosphere that encourages contributions to top-tier journals and conferences, while also offering the fulfillment of seeing your innovations implemented on a large scale.

Our dynamic team comprises professionals from diverse backgrounds—ranging from academia to business—united by a shared passion for advancing AI in the realm of cybersecurity. Regardless of whether you’ve come from research institutes, consulting, or industry positions, we value your unique insights. Collaborate with fellow PhDs and seasoned experts in a culture that celebrates intellectual curiosity and breakthrough ideas. Our robust patent incentive program rewards innovative thinking and the development of intellectual property, creating an inclusive environment ideal for talented individuals who are eager to explore both fundamental AI research and its real-world applications.

Key Responsibilities:

• Drive research initiatives focusing on mechanistic explainability, self-supervised learning, and representation learning to propel fundamental AI capabilities for cybersecurity.
• Innovate new machine learning structures that transcend current generative AI models, producing more robust, transparent, and efficient solutions for complex multimodal cybersecurity data.
• Analyze a variety of high-dimensional datasets to unveil hidden patterns and derive significant insights from vast amounts of unlabeled information.
• Establish rigorous experimental designs and evaluation frameworks to verify theoretical advancements concerning performance, interpretability, robustness, and generalization in real-world cybersecurity applications.
• Collaborate with Engineering teams to translate research innovations into practical, deployable solutions.
• Disseminate findings through publications in leading academic journals and presentations at prominent conferences, driving the advancement of the field.
• Create and file patents for innovative methods and technologies generated during your research efforts.
• Engage with the wider research community to share ideas and remain abreast of the latest advancements.
• Mentor junior researchers and foster a vibrant culture of scientific inquiry and innovation.

Essential Qualifications:

• PhD in Computer Science, Statistics, Mathematics, or a related discipline, or equivalent research experience with a minimum of 5 years post-graduate experience in advanced machine learning research.
• Strong theoretical grounding in fundamental machine learning principles and statistical methodologies.
• Excellent command of Python, proficiency in Deep Learning frameworks (such as TensorFlow, PyTorch), and familiarity with distributed computing environments.
• Effective scientific writing and communication abilities suitable for both technical and non-technical audiences.
• Proven capacity to conduct autonomous research while effectively collaborating within multidisciplinary teams.

Preferred Qualifications:

• Specialized expertise in areas such as mechanistic interpretability, self-supervised learning, representation learning, or novel AI paradigms.
• Demonstrated research leadership and scientific impact through publications in prestigious journals, patents, or deployed innovations.
• Experience applying advanced machine learning techniques to address cybersecurity challenges.
• Background in developing and implementing novel machine learning architectures and algorithms.
• Understanding of theoretical foundations encompassing information theory, causal inference, or theoretical computer science.
• Proficiency in robust AI methodologies, including adversarial machine learning, multi-agent systems, or emergent behaviors.
• Knowledge of large-scale distributed training and optimization strategies.
• Familiarity with privacy-preserving machine learning techniques and differential privacy.
• Insight into next-generation computing trends, such as neuromorphic computing, brain-inspired architectures, or quantum machine learning.
• Expertise in computational linguistics or graph neural networks for intricate relational data.
• Contributions to open-source machine learning initiatives or frameworks.

Please Note: This role emphasizes fundamental research aimed at advancing beyond current AI paradigms to create the next generation of explainable, self-supervised learning systems for cybersecurity applications. The level of hire will be determined based on individual qualifications and experience.

Benefits of Joining CrowdStrike:

• Embrace a flexible, remote-friendly work culture.
• Enjoy competitive compensation and equity awards.
• Access comprehensive wellness programs for both physical and mental health.
• Take advantage of generous vacation and holiday policies to recharge.
• Benefit from paid parental and adoption leave.
• Engage in professional development opportunities open to all employees, regardless of their position.
• Connect with colleagues through Employee Networks, neighborhood groups, and volunteer programs.
• Experience a vibrant office culture with top-notch amenities.
• Join a globally recognized organization certified as a Great Place to Work.

CrowdStrike takes pride in being an equal opportunity employer, dedicated to creating an inclusive environment where everyone is appreciated for their unique contributions and empowered to thrive. We are committed to supporting veterans and individuals with disabilities through our affirmative action initiatives.

CrowdStrike is devoted to ensuring equal employment opportunities for all employees and job applicants. We do not discriminate in employment practices or opportunities based on race, color, creed, ethnicity, religion, sex (including pregnancy or 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 conditions, genetic information, or any characteristic protected by law. Our employment decisions—including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, layoffs, returns from layoff, terminations, and participation in social/recreational programs—are based on objective job requirements.

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