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We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new AI-based defense techniques against cyber-threats. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin, shaping the future of cybersecurity and impacting millions of customers.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

We are seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration,

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

We are looking for a technically-oriented Engineering Manager to lead a high-performing team focused on detection and analytics. This is ideal for someone who is passionate about people leadership but doesnt want to walk away from the code entirely. You will balance leadership/management with hands-on technical contribution, ensuring our microservices architecture remains robust and scalable on Google Cloud.
Key Responsibilities
Drive Execution & Delivery: Take full ownership of your team's software development life cycle. You will manage sprint planning, ensure high-velocity execution, and deliver critical features on time in a fast-paced Agile environment.
Lead & Empower: Directly manage, mentor, and grow a team of talented backend engineers. You will conduct 1-on-1s, guide career development, and foster a culture of continuous learning and high performance.
Shape the Architecture: Act as a technical sounding board for your team. You will guide technical design discussions, review architectures, and ensure our systems remain scalable, secure, and resilient under massive loads.
Collaborate Across Teams: Partner closely with Product Managers, DevOps, UX designers, and Security Researchers to align engineering efforts with our strategic roadmap and customer needs.

we are an evolving defense-tech company and a global pioneer in life-saving radar systems. Our Learning team is growing, and were looking for a dynamic Learning Operations Partner to join us! About the Role This is a pivotal role where you will own the backbone of our organizational learning, from budget and vendor management to the management of an integrated training matrix. If you thrive on building scalable processes, love data -driven insights, and want to lead our transition to a digital-first learning academy - this is the place for you. What You Will Be Doing
* Design and manage an integrated training matrix that consolidates all organizational learning into one cohesive, high-impact plan.
* Lead the end-to-end execution of Learning & OD operations, including full ownership of budgets, vendor relations, and procurement.
* Serve as the focal point for all Quality, Regulation, and Compliance training, ensuring we meet the highest industry standards.
* Spearhead the shift to digital documentation and streamlined workflows for all learning initiatives across the organization.
* Act as our internal data Analyst, translating learning metrics into actionable insights to drive informed decision-making.
* Take full ownership of LMS administration, ensuring a seamless and effective User Experience.

As a DevOps Engineer, you won't just "maintain" infrastructure, you will own it.
You will lead the charge in cloud security automation, using an AI-first mindset to drive extreme efficiency. Your mission is to identify, rectify, and prevent misconfigurations and bottlenecks in advance. You are expected to operate with high autonomy, shaping the future of secure cloud environments by being a proactive force, not a reactive one.
Key Responsibilities:
Innovate & Implement:Design and implement cloud infrastructure solutions with a focus on GCP, including compute reservations, BigQuery, Pub/Sub, GCS, and networking.
Release Engineering: Lead weekly production upgrade cycles across global multi-region environments, including branch-out processes, hotfix management, version gating, and rollback procedures.
Service Deployment & Lifecycle: Own end-to-end service deployments on Kubernetes - from Helm chart creation and Flux/GitOps configuration to production rollout and scaling.
Database Administration:Manage and optimize database infrastructure including MySQL, Redis, BigQuery, Neo4j, Scylla, MongoDB, and PostgreSQL in production environments.
AI Integration: Utilize AI-supporting tools to optimize coding, automate repetitive tasks, and solve complex architectural puzzles. Contribute to AI-native infrastructure such as Vertex AI and AI Gateway services.
Tenant & Customer Infrastructure: Manage customer-specific infrastructure including dedicated compute reservations, tenant provisioning, licensing configuration, and feature flag management across multi-tenant and single-tenant environments.
Infrastructure Automation & Tooling:Develop internal CLI tools and automation scripts (Python) to streamline operations.
Cost Optimization: Drive cloud cost optimization through resource right-sizing, reservation management, database disk reduction, and efficiency improvements.
Service Reliability: Enhance uptime by establishing SLAs, setting up comprehensive monitoring (Prometheus, Grafana, Stackdriver), and participating in the production on-call rotation (including off-hours support).

Required Client Solution Manager, Tech & Commerce, 12 Month Contract
The Client Solutions Manager partners with our most strategic clients to make sure they are successful with us. This is an opportunity to build and manage key relationships, serve as a consultative product expert and a trusted adviser in marketing, leading strategy, media planning, creative, tech integration, and measurement for our top clients across various verticals mainly Fashion. The Client Solutions Manager is a strategic solution-driver with a focus on developing ROI-positive marketing strategies, driving growth by constantly improving performance for advertisers and implementing measurement & attribution solutions.
This role is responsible for optimizing complex opportunities and using data and analytics to build consultative and technical solutions for our customers, providing business insights, driving revenue, advertiser education, and satisfaction through a consultative, data-driven approach. Success in this position requires consultative sales and analytical skills, a focus on client service and commercial acumen, and the drive to thrive in a dynamic, team-focused environment. You should have passion for our advertising solutions and the overall marketing/tech ecosystem.
Client Solution Manager, Tech & Commerce, 12 Month Contract Responsibilities
Track record of excelling in Client Solution Manager role and driving impact on solution adoption, revenue, and operational rigor
Identify, create, and implement marketing solutions grounded on achieving measurable business results for our clients
Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers
Work with businesses to understand their objectives and develop the strategy in partnership with the Client Partner and cross-functional teams, which will constitute building on insights, crafting marketing strategies and media plans, creative guidance and measurement recommendations
Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients
Project Management - Work and collaborate with a group of internal cross-functional teams, managing complex work streams to optimize marketing objectives for clients. Manage analytics and dashboards to advise clients (for example daily client facing data/insights reporting, understanding performance across multiple accounts across multiple country used by clients)
Manage strategic marketing conversations with clients, agencies, and partners (media, creative, measurement partners, MarTech, etc.)
Manage internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities)
Manage planning, execution, ongoing reporting and optimisation of campaigns (Observe budget spend, manage internal analytics and dashboards, provide optimisation and real time recommendations)

Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers. As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new endpoint-based defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Key Responsibilities
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers.
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach.
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders.
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.

We are looking for a Senior Staff C++ Engineer to join our Tel Aviv R&D center and take a key engineering role within the Cross Platform Agent team.
Key Responsibilities
Lead the design and implementation of critical Cortex Agent components deployed across endpoint platforms (Windows, macOS, Linux) and cloud-native environments.
Build and maintain high-quality, production-grade software in modern, high-performance C++, owning the full lifecycle from design and implementation through automated test development and production support, including the handling of escalated cases.
Own the ongoing maintenance, hardening, and operational stability of the Defender in cloud-native environments.
Own the reliability and operational stability of the Defender components written in Go (Golang), focusing on production support, incident investigation, root-cause analysis, and hardening in large-scale cloud-native customer environments.
Address complex security, reliability, and performance challenges across large-scale endpoint fleets and distributed cloud environments, including Kubernetes, containers, and container runtimes.
Investigate and resolve complex production and field issues, translating operational insights into scalable, resilient, and efficient system improvements.
Raise the bar on engineering quality by effectively leveraging AI tools in software engineering, leading pragmatic design discussions, conducting focused code reviews, and continuously improving system robustness, correctness, and performance.

Lead and grow the team in charge of researching and developing Autopilot, an innovative product for graph-based fully-autonomous investigation and response (Over the Cortex platform).
As the manager of the Autopilot team, you'll lead a team of security researchers, set the project's technical vision and standards, and own its success.
You will lead an innovative team on the research, design, and development of a new graph-oriented security product. Creating investigation modules that allow Autopilot to autonomously detect, investigate, and respond to advanced threats at a massive scale.
You'll work closely with other development and product teams to turn a successful POC into a full-fledged product, staying agile in a dynamic environment and using data-driven empirical research to determine and drive the project in the best direction.
Youll analyze everything from new malware behaviors to attacker techniques and process activity in enterprise-scale networks, using data collected from across millions of endpoints. Your work will span identifying attack patterns and uncovering statistical anomalies, as well as validating that the system responds effectively to real-world attacks and APT campaigns using production data.
Key Responsibilities
Lead and developa team of security researchers, providing mentorship, guidance, and continuous feedback to help them grow their careers (Manage the team, develop the people).
Drive the research strategy and executionfor new autonomous methods for investigating and responding to targeted attackers, leveraging large-scale XDR data and graph-based algorithms.
Ensure collaboration with engineering, product, and other research teams, acting as a key interface to push the project forward and align on cross-functional goals.
Direct the team's work on deep, hands-on investigations of real incidents to reinforce the best investigation and response approach, leveraging a combination of os-internals, TTPs, semi-labeled data, and large-scale statistical methods.
Foster a disruptive environment that innovates using advanced techniques such as graph algorithms, machine learning, and LLM agents to mimic and scale human security analyst workflows.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

We are the Code Scanning Team. We are responsible for developing the core scanning engines of the company's products. To provide a holistic solution in the worlds of SCA, IaC and Secrets. We specialize in edge technologies that include static and dynamic code analysis, cloud security and complex dependency analysis.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Take full ownership of specific feature segments, demonstrating accountability for quality and timely delivery from conception to release.
Architect and implement hyper-scalable solutions on GCP, ensuring enterprise-grade quality and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world.
As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.