HUMAN

Cybersecurity

SeniorDetectionResearcher

$360–540k ~AI est. Tel Aviv, Israel FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Detection Researcher at HUMAN. Skills: Detection research, Machine learning, Data engineering, Applied machine learning. Lead research initiatives. Design detection methods”

What You'll Achieve.

Maximize output; Drive high-quality results

Industry & Context.

Cybersecurity
Problems you'll solve

Formulate hypotheses; Design experiments; Turn ambiguous problems into outcomes

What They're Looking For.

Must Have

5+ years experience with data, Proficiency in SQL, Proficiency in Python, Comfort handling large datasets

Nice to Have

Familiarity with cybersecurity research, Experience with feature engineering, Experience with reputation systems, Experience with anomaly detection, Experience with behavioral modeling, Exposure to real-time enforcement systems, Exposure to online enrichment pipelines, Exposure to ML-driven detection, Academic background in data science, Professional background in data science, Academic background in statistics, Professional background in statistics, Academic background in machine learning, Professional background in machine learning

What You'll Do.

Lead research initiatives

Design detection methods

Implement detection methods

Deploy detection methods

Investigate attack patterns

Dissect threat actor operations

Develop countermeasures

Fuel detection models

Fuel reputation systems

Collaborate with engineering

Collaborate with product

Collaborate with security research

Collaborate with data science

Collaborate with incident response

Translate research findings

Own customer-facing research

Conduct traffic analysis

Drive detection improvements

Contribute to detection quality

Review colleagues' work

Monitor production anomalies

Iterate on trade-offs

How You'll Work.

Team & Collaboration

Cross-functional environment; Engineering teams; Product teams; Security research teams; Data science teams; Incident response teams

Communication Scope

Convey technical findings

Full Job Description

ABOUT THE TEAM The Enterprise Research team at HUMAN protects the internet by disrupting the economics of cybercrime. We are the detection engine behind HUMAN's products - our algorithms make trillions of decisions per day, distinguishing real humans from sophisticated automated threats. Our team of security researchers, data researchers, and data scientists works at the intersection of adversarial security, data engineering, and applied machine learning to build defenses that stay ahead of constantly adapting attackers. We are looking for a Senior Detection Researcher to join us and play a key role in designing the next generation of our detection and enforcement systems. WHAT YOU'LL DO - Lead research initiatives to design, implement, and deploy innovative detection methods at scale, from early-stage discovery to production rollout. - Investigate adversarial attack patterns, dissect how threat actors operate, and develop countermeasures that are resilient to adaptation and evasion. - Engineer and curate features across large-scale data pipelines (Reputation signals, behavioral signals, network-level attributes) to fuel detection models and algorithms and reputation systems. - Collaborate closely with engineering, product, security research, data science, and incident response teams to translate research findings into production-grade enforcement rules and models. - Leverage AI tools daily to maximize output and drive high-quality results - Own end-to-end customer-facing research for strategic accounts. conduct deep-dive traffic analysis, resolve complex escalations, and drive detection improvements based on real-world adversarial activity. - Contribute to the team's detection quality practices by reviewing colleagues' work, monitoring production anomalies, and iterating on precision/recall trade-offs. WHO YOU ARE - 5+ years of experience working with data at scale: strong proficiency in SQL and Python and comfort handling large, complex datasets. - A researcher mi

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