HUMAN

Engineering & Research

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, Cybersecurity. Lead research initiatives. Design detection methods”

What You'll Achieve.

Maximize output; Drive high-quality results

Industry & Context.

Engineering & Research
Problems you'll solve

Data-driven analysis; Creative thinking; Ambiguous problems

What They're Looking For.

Must Have

5+ years of experience working with data at scale, Proficiency in SQL, Proficiency in Python, Comfort handling large, complex datasets, Researcher mindset, Formulate hypotheses, Design experiments, Turn ambiguous problems into measurable outcomes, Solve real-world problems through data-driven analysis, Solve real-world problems through creative thinking, Solid understanding of HTTP, Solid understanding of web protocols, Solid understanding of client-server interactions, Sense of ownership, Accountable for accuracy, Accountable for impact, Great communication skills, Convey technical findings clearly to technical stakeholders, Convey technical findings clearly to non-technical stakeholders, Collaborative team player

Nice to Have

Familiarity with cybersecurity research, Experience with feature engineering for detection or classification systems, 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, Academic background in statistics, Academic background in machine learning, Professional background in data science, Professional background in statistics, Professional background in machine learning

What You'll Do.

Lead research initiatives

Design detection methods

Implement detection methods

Deploy detection methods

Investigate adversarial attack patterns

Dissect threat actor operations

Develop countermeasures

Fuel detection models

Fuel reputation systems

Collaborate with engineering teams

Collaborate with product teams

Collaborate with security research teams

Collaborate with data science teams

Collaborate with incident response teams

Translate research findings into enforcement rules

Translate research findings into enforcement models

Drive high-quality results

Own customer-facing research

Conduct deep-dive traffic analysis

Resolve complex escalations

Drive detection improvements

Contribute to detection quality practices

Review colleagues' work

Monitor production anomalies

Iterate on precision/recall trade-offs

How You'll Work.

Team & Collaboration

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

Communication Scope

Technical findings communication

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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