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ActiveFence
ActiveFence
201 – 500 Angajați
Inteligență artificialăSecuritate cibernetică
ActiveFence este o companie de securitate cibernetică și inteligență artificială axată pe încredere și siguranță pentru platformele online. Oferta sa completă combină cercetarea de informații, detectarea conținutului dăunător cu ajutorul inteligenței artificiale și instrumente de moderare a conținutului, ajutând platformele să gestioneze riscuri precum exploatarea copiilor, dezinformarea, discursul instigator la ură, terorismul, nuditatea, frauda și alte forme de abuz online. ActiveFence sprijină echipele de încredere și siguranță de diferite dimensiuni, contribuind la protejarea a peste trei miliarde de utilizatori din întreaga lume, în mai mult de 100 de limbi.
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Senior GenAI Data Scientist at ActiveFence (Hybrid, Israel)

Senior GenAI Data Scientist role focused on automated red teaming, machine learning, and large-scale data analysis. Build systems that help identify emerging security threats across online experiences and AI products.

ILIsraelHibridNormă întreagăSeniorLimbă Obligatorie: englezăSpecialist în știința datelor
ApacheETLHadoopPythonPyTorchScikit-LearnSparkSQL

Descriere

  • Develop scalable data-science agents that reason through and execute multi-step workflows for generating and analyzing adversarial attacks.
  • Manage and interpret prompt and response data from red-team campaigns, model evaluations, and synthetic attacks, including cleaning, curation, normalization, and labeling.
  • Examine structured and unstructured data to identify trends, clusters, anomalies, attack families, jailbreak techniques, and novel patterns.
  • Create machine-learning models and predictive algorithms that automate red-team processes.
  • Develop evaluation and monitoring pipelines to measure attack success and compare model behavior across providers.
  • Apply statistical methods and experiments to verify findings and support accurate, reproducible results.
  • Move research into production through reliable, scalable systems designed for cost and latency efficiency, supported by testing, CI/CD, and telemetry.

Cerințe

  • At least five years of hands-on data-science or machine-learning experience using Python or R and SQL.
  • At least three years of experience with Scikit-Learn and PyTorch.
  • Practical experience in GenAI red teaming, adversarial testing, or LLM security.
  • Experience building and deploying LLM-powered or machine-learning systems in production.
  • Strong knowledge of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG.
  • Strong understanding of clustering, embeddings and NLP, semantic similarity, and anomaly or novelty detection.
  • Experience developing classification, ranking, or prioritization systems.
  • Solid foundation in statistics, experimental design, and model evaluation.
  • Experience with Cradle, Apache Hadoop, Spark, and large-scale ETL and data-pipeline development.
  • M.Sc. in computer science, electrical engineering, mathematics, statistics, or a related discipline.
  • A Ph.D. is advantageous but not required.

Locuri de muncă similare

NVIDIA

Senior Circuit Timing Engineer, NVIDIA (Remote, California)

NVIDIA
Sponsor pentru viza H1BAsistență medicalăIndustria prelucrătoareInteligență artificială
USStatele Unite ale AmericiiCACalifornia
168.000 $ – 310.500 $ / an
RemoteNormă întreagăSeniorLimbă Obligatorie: englezăInginer

Design NVIDIA processor circuits for hardware security, adaptive clocking, and power management. Lead timing signoff and transistor-level analysis, and apply AI/ML methods to silicon design.

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