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המלצות מבוססות AI שישפרו
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Senior Researcher

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שאלות הכנה לראיון עבודה
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5 ימים
MICROSOFT ISRAEL
Location: More than one
Job Type: Full Time
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions.

The Microsoft Security organization accelerates Microsofts mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

In this role, youll research and build defenses across AI systems, agentic protocols, Identity platforms, and SaaS applications. One day you might analyze a new class of AI prompt injection attacks or Agents abuse, the next youll be hunting through data or creating novel protection mechanisms for them. Youll work closely with product teams to turn research prototypes into real security features.

Join our threat protection research team and be part of a team who contributes to Microsofts most advanced and innovative security solutions. Our mission is to help everyone to counter cyber threats by strengthening their security capabilities across their entire environment, including Identities, Agentic AI systems, Cloud and Applications.
Responsibilities
Conduct in-depth analysis and research on cloud environments and AI tools to identify threats, vulnerabilities, and potential risks.
Investigate, analyze, and learn from security researchers, attackers, and real incidents to develop durable detection strategies across the entire kill-chain.
Collaborate with multiple product and engineering teams to design the next iteration of sensors, implement detection ideas and validate their effectiveness using a data-driven approach.
Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers
Requirements:
3+ years of hands-on experience in security research.
BSc. or M.Sc. in Computer Science, Software Engineering, or relevant practical experience (e.g. service in elite technology unit in IDF).
Code fluency in either C#, Python or Rust.
A drive to tackle hard problems with level of ambiguity.
knowledge of the security threat landscape, with experience in the modern attacker kill chain and MITRE ATT&CKespecially in cloud, application, identity, and AI-related threat scenarios.
Team player open to ideas and enjoys working with others to achieve shared goals.
Familiarity with cloud environments, and hybrid cloud enterprise services


Preferred Qualifications:

Good hands-on knowledge of AI/LLM fundamentals and concepts, including technical aspects related to usage of AI/LLM in production systems and agentic frameworks.
Familiarity with OAuth and other identity protocols, as well as knowledge of the AI domain - especially MCP, A2A, and related technologies.
Industry recognized author of security research papers, blogs, or books.
Low-level/security knowledge of other operating systems.
.המשרה מיועדת לנשים ולגברים כאחד
 
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הגשת מועמדות
עדכון קורות החיים לפני שליחה
109164
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
5 ימים
Google Israel
Location: Tel Aviv-Yafo
Job Type: Full Time
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Our team focuses on developing foundation models for remote sensing (i.e., satellite, aerial) imagery. We aim to simplify and enhance various remote sensing tasks including land use/land cover segmentation, object detection, and change detection for use by Google teams and external partners. We also investigate natural language interfaces for remote sensing imagery through vision-language models and tasks such as captioning and visual question answering.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Explore research directions, generate hypotheses and perform rigorous experimentation in several sub-domains (e.g., pre-training recipes, multi-modality, temporal sequences).
Contribute to shaping the team's roadmap, help prioritize research directions, with focus on innovation and usability.
Work with other researchers across Google to connect multiple geospatial efforts.
Help teams use foundation models and optimize its use on their tasks.
Advise and mentor team members.
Requirements:
Minimum qualifications:
PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience in building computer vision models using machine learning techniques.
Experience leading a research agenda.
One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:
Experience building, tuning, evaluating, and using foundation models.
Experience with Remote Sensing data (e.g., multi-spectral, hyper-spectral, SAR) and Google Earth Engine.
Excellent software engineering skills using Python or C++.
.המשרה מיועדת לנשים ולגברים כאחד
 
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הגשת מועמדות
עדכון קורות החיים לפני שליחה
110640
שירות זה פתוח ללקוחות VIP בלבד
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