Senior Data Scientist – GenAI

🕒 vor 23 Tagen

🌐 Vereinigtes Königreich, Spanien, +1 weitere Länder – Remote

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⏰ Vollzeit

🟠 Senior

📊 Data Scientist

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

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👻 Geisterscore 10%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of CrowdStrike

CrowdStrike

5001 - 10000 Mitarbeiter

Gegründet 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Künstliche Intelligenz

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike ist ein Cybersecurity-Unternehmen, das cloudbasierte Sicherheitsdienste bereitstellt, um Sicherheitsverletzungen zu stoppen. Es gilt als führend in den Bereichen Endpoint Protection, Identity- und Cloud-Security sowie Managed Detection and Response (MDR). Die Plattform von CrowdStrike, Falcon, integriert künstliche Intelligenz (AI), um Echtzeit-Transparenz, Erkennung und Schutz vor hochentwickelten Cyberbedrohungen zu bieten. Für seine Effektivität beim Schutz von Netzwerken und Daten wird das Unternehmen hoch geschätzt und ist ein vertrauenswürdiger Partner für Unternehmen weltweit.

Beschreibung

• Lead and architect the research strategy for applying AI to cybersecurity. • Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity • Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies • Implement cutting edge ML/AI research in the context of cybersecurity • Build production ready AI systems that operate at CrowdStrike’s massive scale. • Mentor and guide 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

🎯 Anforderungen

• Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field • 8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models • Deep expertise in LLM and deep learning training and deployment at scale • Have a bias-for-action, ability to make high-judgement decisions, and be comfortable in the face of ambiguity. • 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

🏖️ Vorteile

• 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

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