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AI Security - Senior Data Scientist

Cato Networks

AI Security - Senior Data Scientist

Cato Networks

Tel Aviv District, Israel

·

On-site

·

Full-time

·

1mo ago

필수 스킬

NLP

Deep Learning

Python

PyTorch

Hugging Face

LLMs

Experiment design

Model analysis

Welcome to the future of cloud networking and security!

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!

As part of this exciting journey, Cato recently joined forces with Aim Security — a fast-growing innovator redefining how organizations secure and build with AI.Backed by Cato’s global reach and powered by Aim’s startup energy, we’re building the future of AI Security together.

We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure.

We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.

You won’t be working on isolated experiments. You’ll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.

This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.

What you’ll do

  • End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.

  • Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.

  • Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.

  • Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

What you bring

  • 5+ years of hands-on experience applying NLP/DL algorithms, techniques to real-world problems, with strong intuition for textual data and model behavior.

  • Experience working with LLMs, with a strong grasp of practical best practices and the judgment to apply them throughout the R&D lifecycle when building task-specific models.

  • Strong proficiency in Python and modern DL frameworks (Py Torch, Hugging Face, etc.).

  • Experience designing experiments, defining metrics, and analyzing model failures.

  • A strong drive to solve complex AI security challenges, with both curiosity and pragmatism.

Why join us

  • Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact.

  • Bridge the best of startup energy with the scale and reach of Cato Networks: you’ll build for enterprise-grade reliability and commercial scale, and also retain the innovation spirit of a startup.

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Cato Networks 소개

Cato Networks

Cato Networks Ltd. is a Tel Aviv, Israel-based network security company that develops Secure Access Service Edge (SASE) technology, which combines enterprise communication and security capabilities into a single cloud-based platform. The company was founded in 2015.

501-1,000

직원 수

Tel Aviv

본사 위치

$2.5B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

3.2

보상

3.1

문화

4.1

커리어

4.0

경영진

3.4

72%

친구에게 추천

장점

Supportive and respectful management

Great team culture and collaborative atmosphere

Good career advancement opportunities

단점

Heavy workload and frequent overtime

Fast-paced and stressful environment

Management communication and clarity issues

연봉 정보

2개 데이터

Junior/L3

Junior/L3 · Business Analyst

0개 리포트

$124,375

총 연봉

기본급

-

주식

-

보너스

-

$105,719

$143,031

면접 경험

64개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

31%

경험

긍정 68%

보통 22%

부정 10%

면접 과정

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

자주 나오는 질문

Tell me about a challenging project

System design question

Coding problem

Why this company

뉴스 & 버즈

RSAC 2026: Nimmy Reichenberg, Cato Networks, SVP, Product Marketing - Yahoo Finance

Yahoo Finance

News

·

5d ago

[HIRING] a Social Media Manager at Cato Networks! in Cato Networks

Company: Cato Networks Location: San Francisco, California, United States 📍 Date Posted: April 13, 2026 📅 Categories: #marketing #content #senior #fulltime Apply & Description 👉 https://jobboardsearch.com/redirect?utm_source=reddit&utm_medium=bot&utm_id=jobboarsearch&utm_term=digitalmarketingjobs.com&rurl=aHR0cHM6Ly9kaWdpdGFsbWFya2V0aW5nam9icy5jb20vam9icy80NDE0MTE5ODYtc29jaWFsLW1lZGlhLW1hbmFnZXI=

Reddit

·

6d ago

·

1

De Financiële Impact van Auto-Adaptieve Dreigingspreventie: Een Analyse van Cato Networks' Nieuwe Engine

In het huidige cloud-native landschap worstelen veel organisaties met de financiële en operationele last van traditionele beveiligingsmodellen. Statische security policies, die handmatig moeten worden geconfigureerd en onderhouden, zijn niet langer opgewassen tegen de dynamiek van moderne infrastructuren. Dit leidt tot een kostbare cyclus van constante aanpassingen, waarbij security-teams overbelast raken en het risico op menselijke fouten toeneemt. Een misconfiguratie kan niet alleen een veil

Reddit

·

1w ago

·

1

De Financiële Impact van Auto-Adaptieve Dreigingspreventie: Een Analyse van Cato Networks' Nieuwe Engine

In het huidige cloud-native landschap worstelen veel organisaties met de financiële en operationele last van traditionele beveiligingsmodellen. Statische security policies, die handmatig moeten worden geconfigureerd en onderhouden, zijn niet langer opgewassen tegen de dynamiek van moderne infrastructuren. Dit leidt tot een kostbare cyclus van constante aanpassingen, waarbij security-teams overbelast raken en het risico op menselijke fouten toeneemt. Een misconfiguratie kan niet alleen een veil

Reddit

·

1w ago

·

1