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As a Security Research Intern in the Autonomous Attack Disruption team, you will join the frontlines of our Defenders mission to stop attacks in near real-time. Under the mentorship of experienced researchers, you will analyze real-world attacker TTPs (Tactics, Techniques, and Procedures), reasoning over large-scale datasets to write logic that autonomously identifies and disrupts attackers before they can achieve their objectives. You will investigate nation state attacks, from triage through full investigation to identify gaps in our detection and autonomous protection, extracting relevant TTPs and identifying new techniques used by nation state.

This role requires threat research expertise, attack investigation and analysis capabilities, with specific focus on sophisticated threats. This is your chance to identify the next nation state attack, and see your research findings transformed into live defense logic that protects millions of users. For doing that - you'll use all of reach data and platforms - frontier AI tools and flows to also build methodologies and tools to improve and automate invesitigation research.

Responsibilities
Investigate real-world nation state attacks to support the development of high-fidelity protection logic across complex cross-domain kill-chains.

Apply security expertise to analyze massive telemetry sets using big-data query languages (KQL), reasoning over data to identify novel malicious patterns and engineer evidence-based detection rules.

Contribute to the implementation and coding of automated capabilities that autonomously investigate nation state threats, using AI assisted tooling and agentic flows.

Assist in the refinement of protection coverage by analyzing real-world attack telemetry to improve the accuracy and performance of existing detection logics.

Contribute to a strategic feedback loop by documenting findings from attack data analysis to improve overall protection logic and system-wide security posture.

Partner with engineering and product teams to translate research insights into production-ready code, helping to validate protection concepts and ship them at a global scale.

Are you a Masters or PhD student interested in a 2026 Internship in Data Science? If so, we want to hear from you!

We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment and is comfortable owning data to drive step-change innovation in the EMEA region or worldwide.

As a Data Science Intern, you will have the following key job responsibilities:
Work closely with scientists and engineers to develop new algorithms to implement scientific solutions for our problems.
Design, run, and analyze A/B tests.
Work on an interdisciplinary team on customer-obsessed research.
Experience our customer-focused culture.
Create and deliver projects that can be quickly applied starting locally and scaled to EMEA/worldwide.
Create and share data with audiences of varying levels technical papers and presentations.
Define metrics and design algorithms to estimate customer satisfaction and engagement.

DFT Intern - ASIC Student - Israel - ETR
Job Description
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a representative may contact you directly if a relevant position opens.
Who We Are
The Design for Test (DFT) team is part of the design group, which focuses on logic design, RTL development, and running verification tests. Their main role is to design test structures embedded within the chip to ensure proper functionality after manufacturing. The goal is to detect potential manufacturing defects with maximum efficiency and filter out faulty units before they reach the market.
The ideal candidate is friendly, social, easygoing, with a good sense of humor, and has the ability to learn independently. They should be located in central\north Israel (Tel-Aviv\Caesarea). Strong independent work skills and job stability are important.
What You'll Do
Work in a small, agile team with an intimate atmosphere that offers direct mentoring and broad professional growth. Insert DFT logic, perform synthesis, and run Automatic Test Pattern Generation (ATPG) to ensure hardware testability. Execute Gate Level Simulations, timing checks, and DRC checks to maintain rigorous design integrity and performance standards. Run regressions and perform deep-dive debugging on simulation failures as part of the core verification process.

This is a part-time job that will be a perfect match for students with an affinity for digital marketing, strong analytical skills, and a desire to take their first steps into the world of media management.
Responsibilities:

* Setting up and updating campaigns according to a structure defined by the campaign managers.
* Posting Google and facebook ads.
* Writing search ads on Google.
* Writing extensions for Google search ads.
*  data analysis and expense reports from a variety of different analytics systems (Google Analytics, Supermatrix, Panel IO, advertising platforms and more)

As an AI Security Research Intern in the Autonomous Attack Disruption team, you will join the frontlines of our Defender's mission to stop attacks in near real-time. Under the mentorship of experienced researchers, use AI to analyze real-world attacker TTPs and build systems that autonomously detect and disrupt attacks before adversaries reach their goals, including agentic pipelines and LLM-based threat analysis.

This role requires a blend of applied security research expertise, AI fundamentals, and engineering skills to deliver production-ready protection at a global scale. This is your chance to see your AI-powered research transformed into autonomous defense systems that protects millions of users.

Responsibilities
Investigate real-world advanced attacker TTPs and apply AI techniques (LLMs, agentic workflows) to support the development of high-fidelity, AI-augmented protection logic across complex cross-domain kill-chains.
Apply security expertise combined with AI-driven methods to analyze massive telemetry sets using big-data query languages (KQL) and AI-driven analysis, reasoning over data to identify novel malicious patterns and engineer evidence-based detection rules.
Contribute to the design and implementation of AI-powered capabilities that autonomously disrupt sophisticated threats in near real-time.
Assist in the refinement of protection coverage by analyzing real-world attack telemetry to improve the accuracy and performance of existing detection logics.
Contribute to a strategic feedback loop by documenting findings from attack data analysis to improve overall protection logic and system-wide security posture.
Partner with engineering, product, and other research teams to translate research insights into production-ready AI systems, helping to validate protection concepts, from prompt engineering to model evaluation, and ship them at a global scale.
Explore and prototype with emerging AI tools and frameworks to accelerate security research workflows and build reusable AI-driven research tooling.

The internship program provides a learning experience, mentoring and valuable work experience in the field of clinical trials. We provide our interns the opportunity to work on meaningful assignments and make sure that they gain real world experiences (in the areas of Regulatory & Finance and Supply & CRA support).

This program provides comprehensive trial and site administration experience. Under the oversight of the Clinical Operation Manager Leads/Clinical Operation Managers and Clinical Trial Coordinators, the person prepares, collates, distributes and archives clinical documents. The Interns supports clinical supply & non-clinical supply management and ensures timely maintenance of tracking and reporting tools, as applicable.