Senior AI Data Engineer

April 16

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SentinelOne

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Cybersecurity • Artificial Intelligence • SaaS

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

1001 - 5000 employees

Founded 2013

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats. • We’re looking for a data scientist who’s deeply motivated to build high-quality datasets that power cybersecurity-focused AI. • Your primary mission will be to design and maintain the data foundations behind products that detect threats, summarize alerts, and enable defenders. • You should be energized by ambiguity, eager to explore noisy and complex security data, and experienced in transforming it into structured, useful assets. • While your main focus will be on data—collecting, cleaning, labeling, and maintaining—you’ll also help define how we measure quality and track progress over time.

🎯 Requirements

• 5+ years of experience working with data in applied AI or ML systems, ideally in security or similarly complex domains. • Strong Python skills and experience with common data tools (pandas, numpy, PySpark). • Experience curating and maintaining large, evolving datasets for training and evaluation. • Familiarity with data labeling strategies, data versioning, and pipeline automation. • Ability to explore and analyze messy data from real-world systems. • Experience with LLMs or generative AI models, and understanding of their data dependencies. • A working knowledge of cybersecurity concepts, threat types, telemetry sources, or detection workflows.

🏖️ 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