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We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations.
Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products
Develop novel quantitative methods on top of Meta's unparalleled data infrastructure
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on
Work towards long-term ambitious research goals, while identifying intermediate milestones
Communicate best practices in quantitative analysis to partners
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value
Publish research results in top-tier conferences and at leading journals
Actively identify new opportunities within Meta's long term roadmap for applied science contributions.

The Data Collection team is responsible for essential security components, including the Collector, Cyshark, and Collector Gateway. Our mission is to develop and maintain high-performance, deep packet inspection software. This critical software operates across customer sites and cloud endpoints globally, ensuring secure data acquisition from all servers. We are a Rust-focused team committed to designing scalable, production-ready systems.
Responsibilities
Develop high-performance deep packet inspection software for deployment at customer sites and cloud data endpoints.
Design and lead the development of new feature sets and architectural changes for core data collection components.
Take systems from development through to production, focusing on performance, and ensuring ongoing maintenance.
Apply expertise in Rust development to implement solutions with strict attention to system performance.

This role combines backend, frontend, and data-oriented development, offering ownership of end-to-end features and the opportunity to improve large-scale research systems and cyber security products. We are looking for an independent, motivated developer who enjoys solving complex problems and collaborating across Cyber Research and Threat Prevention.

Key Responsibilities
Build and maintain scalable research platforms and high-performance services
Design, develop, test, deploy, and monitor end-to-end features
Collaborate with analysts, researchers, engineers, tech leads, and PMs to deliver effective solutions
Develop cybersecurity-focused features, data pipelines, and automations that support threat intelligence and security products
Research and evaluate new technologies to support architectural and product decisions

We are looking for a C++/Swift Developer to join the Software macOS agent Team.

This role is perfect for a highly experienced software developer who is familiar with the networking and security world. As an integral part of our R&D, youll be working with a motivated agents team and the software group that is responsible for multiple desktop and mobile device agents.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Develop scalable and secure agents on the Mac OS platform
Research and POC new technologies
Work with developers from other agent teams and with backend teams
Review and train junior employees with their designs
Initiate and innovate to promote business needs

Required Software Engineer, Platform
As a Software Engineer, youll:
Join our Platform group and contribute to advancing the quality, reliability, and performance of our distributed data platform. Youll design and develop scalable automated testing frameworks, validation tools, and CI/CD integrations to ensure system robustness and streamline the development lifecycle across large-scale distributed environments.
Key Responsibilities
Work as part of the development team.
Design and develop automated test frameworks and test cases for our product .
Build scalable automation solutions for stress, performance, and regression testing.
Debug and troubleshoot complex issues in distributed systems and storage protocols.
Collaborate with developers, automation infrastructure/DevOps, and QA teams to improve test coverage and reliability.
Drive automation initiatives and improve existing automation infrastructure.
Take full ownership of automation code quality and maintainability.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
As a CPU Workload Analysis Researcher within our company Cloud's ML Systems and Cloud AI (MSCA) organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the xompany Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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.
As a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

This role combines a VP Engineering scope with founding engineer energy. You'll lead a commando team of exceptional engineers while staying hands-on with code.

Key Responsibilities
What You'll Do

Build and lead a team of 15 engineers across backend, blockchain, and AI/ML development
Drive technical strategy and product roadmap from concept to production
Partner with research teams to transform threat intelligence into prevention capabilities
Establish engineering excellence: architecture, code quality, deployment practices

we are looking for a Manager, Engineering - Cloud Security.
Your Role:
Be the full tech owner of your teams products - lead code reviews, and help maintain a high level of code: Writing clean, high-quality, high-performance, maintainable code.
End-to-end professional responsibility over your teams Agile development life-cycle
Growing and mentoring your team members
Serve as a force multiplier for your team by identifying and implementing process improvements.
Hands-on approach - designing, coding, and delivering features to production
Writing clean, high-quality, high-performance, maintainable code
Collaborate in an environment involving various stakeholders within the company by planning, brainstorming, and sharing feedback.
Coordinate cross-functionally to ensure the project meets business objectives and compliance standards
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on the production

we are looking for a Senior Software Engineer - Cloud Security.
Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

we are looking for a Software Engineer - Cloud Security.
Your Role:
Writing clean, high-quality, high-performance, maintainable code
Collaborate in an environment involving various stakeholders within the company by planning, brainstorming, and sharing feedback.
Coordinate cross-functionally to ensure the project meets business objectives and compliance standards
Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and their impact on production.
Participate in code reviews

We are looking for a Talented Software engineer to be a key player in our fast-growing Core Network Group R&D department. You will be building and developing a next-generation SASE solution. Dive into the world of microservices, distributed systems, networking, and scalable software design, and leave your mark on cutting-edge developments impacting millions of users and organizations.

We are looking for a proactive, fast learner, innovative engineer who is ready to revolutionize the industry.

Key Responsibilities
Writing scalable, robust, testable, efficient, and easily maintainable code and services that are part of our Core Network as a Service components
Develop advanced services of cloud network solutions
Maintain high-performing, scalable, and testable code
Practice peer review and collaborative programming

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company 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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.
Create code generators to generate C++ code based on hardware specifications.

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will be a part of a highly talented team to drive inspection portfolio, while creating diverse Machine and Deep Learning algorithmic solutions.
A day in the life and how youll make an impact:
Design and Development of novel robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of concept for new products and technology.
Evaluate and benchmark different algorithms on unique proprietary datasets.
Collaborate with team members to define future technology and features.

We seek an Embedded Software Engineer to join our R&D team.
As our Embedded Engineer, you will work closely with hardware engineers to create efficient, reliable, and scalable embedded solutions for various applications.
A day in the life and how youll make an impact:
Design, develop, and test firmware for microcontrollers and embedded systems.
Collaborate with hardware engineers to ensure seamless integration between software and hardware components.
Debug and troubleshoot embedded systems using oscilloscopes, logic analyzers, and other debugging tools.
Develop and maintain technical documentation, including software architecture and design specifications.
Implement communication protocols such as SPI, I2C, UART, Ethernet