Senior Director - AI Research

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SentinelOne

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Secure your enterprise with the autonomous cybersecurity platform. Endpoint. Cloud. Identity. XDR. Now.

next-generation endpoint protection • endpoint detection & response • threat and malware prevention • exploit prevention • cybersecurity

1001 - 5000

Description

• About Us: SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. • We are a values-driven team where names are known, results are rewarded, and friendships are formed. • Since its inception, SentinelOne has been on a mission to make Security autonomous; to transform security operations from a reactive, high stakes grind into strategic, highly skilled knowledge work. • We are looking for a Senior AI Research leader who can grow and inspire teams of globally-distributed researchers and engineers, to further advance that mission. • The ideal candidate will have a track record of turning AI/ML research into successful capabilities and a strategic understanding of the Security applications of AI/ML technology.

Requirements

• Master’s or Doctoral Degree in a quantitative science or engineering field. • 10+ years of experience solving complex problems using modern AI/ML techniques; at least five of them managing teams. • Experience with the full system development lifecycle, from requirement gathering, research, design, implementation, testing, through deployment/launch and operation • Comfort working cross-functionally with Product and other Engineering teams. • Complete mastery of a subset of the languages, frameworks and tools currently used in the development of data intensive, machine learning systems, e.g. Spark, Airflow, Python, TensorFlow/PyTorch. • Ability to communicate project needs, status, outcomes and implications to technical and non-technical audiences, inside and outside the company. • Candidates with any of the the following will be preferred: • First-author publications at peer-reviewed AI conferences • Expertise in natural language processing, especially practical experience developing or tuning modern, transformer-based language or multi-modal models • Experience developing complex applications leveraging API-based LLMs • Representation learning from scratch, especially for temporal sequences, multi-modal objects. • Lifelong learning systems driven by implicit and explicit product feedback • Practical reinforcement learning techniques.

Benefits

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA • Unlimited PTO • Industry-leading gender-neutral parental leave • Paid company holidays • Paid sick time • Employee stock purchase program • Disability and life insurance • Employee assistance program • Gym membership reimbursement • Cell phone reimbursement • Numerous company-sponsored events including regular happy hours and team-building events