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The Malware Research & Protection team, part of the Malware & Mail Research and Protection group, is a small and highly collaborative unit of 4 researchers and a team leader. Our mission is to build advanced behavioral and YARA-based protections for Check Point products, scaling our impact through automation and AI-driven detection.

While much of our work focuses on automation and large-scale protection delivery, we also dive deep into reversing and debugging complex malware samples when needed. Our findings can turn into technical blogs and are shared at security conferences.

We combine hands-on malware research with cutting-edge innovation to protect millions of customers worldwide - and we do it as a tight-knit, supportive team where every member contributes to both the technology and the impact.

Key Responsibilities
Analyze malicious files and develop protections for Check Point products.
Release daily protections for customers and continuously monitor detection effectiveness.
Respond to high-profile attacks, investigate them, and create relevant protections.
Monitor telemetry and sensor data to identify targeted attacks and advanced campaigns.
Conduct in-depth investigations in Check Point products and drive security enhancements.
Publish technical and marketing blogs highlighting the teams research and findings.
Present research in internal forums, to strategic customers, and at industry conferences.
Automate processes to increase the teams efficiency and detection coverage.

We are looking for a Release Manager to be responsible for managing the complete software delivery life cycle. Working on cyber security cutting edge technology software with the engineers teams from the planning phase to the deployment phase through the development and testing phases.

In this role, you will be responsible for the smooth deployment and release of code to internal and customer environments.

You will lead major integrated projects within Secure Access Service Edge (SASE) platform.
To do so you will work closely with the development, DevOps and Products teams managing the complete software delivery life cycle and use and improve our CI/CD pipelines, focusing on reducing toil in the development and lead our deployment into production.

As part of that release process, you will be helping bring code from internal environments to customer sites smoothly, and without incident.

Key Responsibilities
You will be responsible for the Release Management lifecycle that involves stages such as scheduling the release, coordinating between teams, and deploying of release as per the schedule, desired quality and within budget.
You need to Improve and define the release management tools to improve tracking and status of the release.
Responsible for collaborating with system engineering/product architects and identifying dependencies, both logical and technical.
Collaborate with program and product management to define a release schedule for all components under management, and maintain a forward schedule of changes.
Responsible for ensuring that all Implementation plans are consistent with defined Release Services Processes and are repeatable.
Conduct Post-Deployment Analysis of all implementations and reporting of established metrics.
Team up with relevant development teams responsible for building and improving the CI/CD process and automation tools.
Participate in Continual Service Improvement (CSI) efforts for all Release Services Process and Procedures
Lead the Go-Live activities to deploy the software successfully.
Coordinate the release schedule and resources required depending upon the third-party applications, defect backlogs, planned releases, and infrastructure updates.
Make improvements in the methodologies used for configuration management and development of software that helps to find ways to use in configuration management.

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Code Generation (PhD) (Tel Aviv) Responsibilities
Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to Meta product development.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other Google Software teams.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.