לוח משרות דרושים בתל אביב יפו

Meta is 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 and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Infrastructure 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
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

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 seeking a highly skilled and experienced individual to lead our efforts in mitigating financial loss from payment fraud across Meta. This individual will manage a team of Product Managers in Israel and the US and collaborate with global leads from Financial Risk Management, Customer Integrity & Support and product teams, to ensure Meta is safeguarding its financial integrity by addressing leakage from bad actors, lost good revenue, and friction caused by efforts to manage the fraud which includes compromise and abusive payments.

Leveraging Machine Learning for Risk Management: Building financial trust and mitigating loss are crucial for driving growth within Meta's financial ecosystem. We're extensively leveraging Machine Learning (ML) to drive revenue growth by minimizing financial losses, including leakage (lost revenue due to fraud), good revenue loss (lost revenue due to reduced spending by benign users impacted by bad actors), friction (negative experiences for benign users due to false positives), and fines, while reducing compliance risks and establishing Meta as a trusted payment ecosystem.
Director of Product Management, Payments Fraud Management Responsibilities
Strategic Leadership: Lead the Payments Fraud Management team, collaborating cross-Meta to develop and execute strategies that mitigate financial loss from payment fraud. Partner with Cross Functional partners in development of the North Star of lost revenue from payment fraud, and the strategy to get there.
Drive complex strategic initiatives that impact 100+ members across multiple teams, fostering a collaborative environment to drive efficiency, alignment, and execution across the organization.
Roadmap Development: Guide teams in developing team-level roadmaps that align with the overall long-term strategy.
Cohesively present to VPs across Integrity and Monetization on behalf of the organization (in partnership with Integrity organization)
Machine Learning Architecture: Develop and implement machine learning (ML) solutions to drive revenue growth by minimizing financial losses
Collaboration and Alignment: Work closely with Integrity, Support and Monetization leadership to ensure alignment on objectives, reporting frameworks for financial loss from payments fraud, and providing regular updates on progress and challenges
Strategic thinker with a track record of developing and implementing successful short-term and long-term fraud mitigation strategies
Experience managing a team of Product Managers

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer - Infrastructure Responsibilities
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Establish self as an owner of a particular component, feature or system with expert end-to-end understanding
Successfully completes projects at large scope while maintaining a consistent high level of productivity

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, signal processing, information retrieval, 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, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning 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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

Meta is 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 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 Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact

Meta Security is looking for a Security Engineer with experience in threat modeling, TTP identification, and detection engineering. Youll work alongside Software Engineers and Offensive Security Engineers to identify critical assets, assess the top risks, and evaluate potential attacks against Meta systems. You will be working across engineering teams to develop detection and response automation leveraging both industry-standard and custom detection and response platforms. Youll generate detection ideas utilizing some of the worlds largest data sets and build on top of hyper-scale data pipelines.
Security Engineer - Surface Coverage, Detection Engineering Responsibilities
Lead cross-functional projects to improve our capabilities to effectively detect and respond to security incidents
Review security architecture of large-scale custom and commercial systems and independently propose logging, detection and prevention controls
Perform TTP-based Threat Modeling for a wide variety of assets including endpoints, mobile, servers, internal services, public & private cloud environments and networking equipment
Perform analysis against logs from a variety of sources (e.g., individual host logs, network traffic logs) to identify potential threats and detection ideas
Build response workflows and actions that auto-resolve false positives and provide context scaling our ability to investigate
Support security incident response in a cross-functional environment and drive incident resolution
Design and implement attack testing automation to validate detection coverage
Build logging pipelines using our custom datasets and infrastructure

Join the Growth Tech TLV team to build platforms, interfaces, and telco‑facing products that accelerate growth for Meta.
Senior Software Engineering Manager - Growth Tech Responsibilities
Contribute to the broader technical and organizational strategy. Identify opportunities for innovation, influence technical direction, and help shape the long-term strategy for the team and organization
Direct the planning, execution, and delivery of complex technical projects. Ensure high-quality engineering standards, remove roadblocks, and drive the team toward successful outcomes that align with organizational goals
Lead, mentor, and develop a team of managers, fostering growth, collaboration, and high performance. Provide regular feedback, support career development, and ensure team members are engaged
Partner closely with product, design, data, and other engineering teams to define priorities, set clear goals, and deliver impactful solutions. Facilitate effective communication and alignment across stakeholders

We are seeking a Senior Applied Scientist to contribute to the ongoing development of Microsoft 365 Copilot in Excel, with an emphasis on optimizing LLM and Agentic workflows. This position is part of the Microsoft 365 Excel team, dedicated to pioneering advancements in generative AI. The successful candidate will possess substantial expertise in large language models (LLMs), information retrieval, and machine learning. Responsibilities include close collaboration with engineering and product teams to innovate, design, and assess comprehensive AI solutions for millions of enterprise users. This role will influence technical direction, inform product development, and foster cross-team collaboration to deliver impactful AI-driven experiences that empower users to achieve more.



Responsibilities

Youll work as part of an Applied Science team on high-impact, technically ambitious AI projects that directly shape the future of Microsoft 365 Copilot in Excel including

You will design, fine-tune, and deliver models and agentic flows for integration with Excel Agent and on-canvas experiences.
You will leverage state-of-the-art LLM fine-tuning and retrieval methods, with robust evaluation metrics and A/B testing to ensure data-driven progress.
You will gather and curate relevant benchmarks, build a comprehensive evaluation framework, and develop GPT-based evaluators (LLM-as-a-Judge). Run controlled experiments to compare performance, efficiency, and scalability using data-driven metrics and A/B testing focusing on reproducible and impactful results.
You will continuously study emerging literature, share insights with leadership and peers during research reviews and deep dives adapt quickly to new findings, and integrate them into experiments and when applicable share with broader research community.

As a Senior Software Engineer in our Edge AI group, you will design, develop, and maintain media encoding pipelines and live streaming workflows for both cloud and on-premises environments. You will build infrastructure, tools, and real-time monitoring systems that ensure reliable live video delivery and operational visibility. Your work will involve writing code that integrates with Azure resources and extensions, leveraging modern technology stacks and methodologies. You will be expected to break down complex problems, create clear execution plans, and take full ownership of your code from development through production. Collaboration within a multi-disciplinary team will be key, requiring strong communication skills and alignment with Microsoft values. In addition, you will automate quality control and alerting mechanisms to rapidly detect and resolve streaming issues, ensuring a seamless experience for customers streaming camera feeds and viewing live video alongside AI-driven insights.

Would you like to learn about the inner workings of Azure Edge? Are you excited about jumping deep into various areas and composing a bigger picture? Microsoft is leading the way to extend Azure cloud services to sovereign, disconnected, edge, enterprise, and hybrid scenarios. Deploying hyperscale services into hybrid and disconnected clouds provides unique and innovative engineering challenges. If you are inspired by this cloud innovation, have the skills to secure and build production grade services, and are looking for a dynamic and collaborative team environment, come talk to us!



Responsibilities
If you are passionate about advancing security and staying ahead of sophisticated threats, this is your opportunity. As a Software Engineer, you will:

Design, develop, and maintain security solutions for Edge and cloud environments, focusing on cryptography, keys and certificates.

Lead technical architecture and design discussions, driving innovation in secure Azure Edge technologies across Windows and Linux.

Collaborate with cross-functional teams to deliver scalable, reliable, and efficient security features for Microsoft Specialized Clouds.

Mentor junior engineers, fostering a culture of excellence, collaboration, and continuous learning.

Analyze emerging security threats and implement proactive measures to protect users, devices, and cloud workloads in the edge.

In this role, you will work at the forefront of automated attack disruption, developing capabilities that detect and respond to advanced threats in real time, regardless of the attack workflow or stage in the kill chain. You will examine diverse and complex signals across on-premises, hybrid, and cloud environments, hunting for emerging adversary techniques, uncovering novel patterns of malicious behavior, and transforming research findings into practical, scalable protection. Your work will span from the earliest ideation stages to production-ready, customer-facing capabilities: researching and modeling attack techniques, identifying the necessary telemetry, designing robust detection logic, and ensuring that our automated disruption mechanisms can respond effectively in real-world conditions. This is an opportunity to have a direct impact on the security of organizations worldwide by building autonomous defense systems that stay ahead of evolving threats and protect customers at scale. You will collaborate closely with engineers, threat analysts, and product teams, bringing creativity and rigor to the challenge of stopping some of the most advanced attacks in the industry before they can cause harm. Our team values diversity and strives to hire individuals with varied experiences and perspectives. We understand that no candidate possesses every desired skill and experience, but together, we form a strong, effective team.



Responsibilities
Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers
Proactively hunt across diverse signal sources including on-premises, hybrid, and cloud environments
Stay current with the latest cyberattack trends and design robust, sophisticated detection logic across the full attacker kill-chain.
Build and implement innovative automated disruption capabilities that autonomously detect and mitigate attacks in real time.
Collaborate with engineering and product teams to design security sensors, validate protection ideas, and measure effectiveness using data-driven approaches.
Contribute to the broader security community by authoring technical blogs, sharing research findings, and presenting at leading security conferences.