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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, 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

Job Description - External
Shape and drive the technical product vision, strategy, and execution by collaborating with cross-functional teams. Ensure alignment with market needs and deliver customer-focused software solutions that achieve key business objectives.
Key Roles and Responsibilities:
Typical duties include, but are not limited to:

Technical Product Vision & Strategy: Develop and communicate a clear product vision and strategy based on customer needs, market trends, and competitive analysis.
Roadmap Planning & Stakeholder Collaboration: Define, prioritize, and manage the product roadmap in close partnership with business, architecture, UX, and other product leaders.
Product Development & Requirements Management: Lead the product development process by creating detailed requirements, user stories, and acceptance criteria, and facilitate trade-off decisions among stakeholders.
Customer-Centric Product Management: Monitor product performance, advocate for the customer experience, and ensure products align with business goals and deliver high-quality user experiences.
Sprint Planning & Subject Matter Expertise: Participate in sprint planning, support ongoing feature refinement, and serve as a subject matter expert for assigned products or product lines.
Job Contribution:
A seasoned professional and recognized expert, adept at solving complex challenges with broad and deep knowledge. Leads critical projects with strategic autonomy, influences executive decision-making, mentors junior staff, and implements long-term initiatives that impact the organization. Frequently collaborates with senior leadership.
Responsible for complex products or product lines. Brings proven experience in managing high-priority technical products and influencing strategic product decisions. May write user stories and set product direction at the team level; develop features and direction for multiple teams; or define epics and strategic direction for larger groups.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsofts Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications. 
Responsibilities
Collaborate with a high-performing UX Research team with expertise in all types of research including qualitative, survey, usability, metrics, plus partnering with big data experts for analyses of behavioral data.
Foster relationships with PM and design teams throughout the Azure Data Organization so you stay close to our cross functional partners and their challenges.
Conduct a mixture of qualitative and quantitative research activities to inform product design, including but not limited to ethnographic explorations, usability studies, heuristic evaluations, interviews, contextual inquiry, surveys, user journey maps, benchmarks or any method that answers the most important research questions.
Create insight syntheses and connect these to product leaders through stories and other creative means to incite product growth directions.
Snap to organization-wide priorities and success criteria to design and execute a research program that meets the organizations needs.

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of Microsoft architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.
Responsibilities
Business Impact

Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare complex customers for operational readiness and achievement of their business goals and targets. Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage. Guides complex customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities. Articulates the value of Unified and supports sellers, partnering with account teams to build consumption plans aligned with appropriate services. Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.

Meta is seeking Research Scientists, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP.
Research Scientist - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines
Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities)
Work towards long-term ambitious research goals, while identifying immediate milestones
Influence progress of relevant research communities by producing publications
Open source high quality code and produce reproducible research

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division

The Information Technology (IT) group at KLA is involved in every aspect of the global business. ITs mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job Description/Preferred Qualifications

Looking for a motivated System Administrator - DevOps tools with unique skills to help us support our software development environment. The individual would be responsible for supporting a battery of software development tools (GitHub Enterprise, Azure DevOps, RTC, JFrog Artifactory/Xray,... to name a few), deploying product updates, identifying production issues by working close to our users/developers, and implementing integrations that meet our customers' needs. If you have a proven background in DevOps with exposure to Security best practices, wed love to speak with you.

Objectives of this Role

Building and setting up new development tools and infrastructure
Understanding the needs of customers and conveying this to developers
Working on ways to automate and improve development and release processes
Ensuring that systems are safe and secure against cybersecurity threats
Identifying technical problems and developing software updates and fixes
Working with software developers and software engineers to ensure that development follows established processes and works as intended
Planning out projects and being involved in project management decisions
Daily and Monthly Responsibilities

Deploy updates and fixes
Provide Level 3 technical support
Build tools to reduce occurrences of errors and improve customer experience
Perform root cause analysis for production errors
Investigate and resolve technical issues
Develop scripts to automate visualization
Design procedures for system troubleshooting and maintenance

Microsoft is transforming the developer experience for AI business sulotions across the development lifecycle. With AI /Copilot and seamless integration with Azure AI, were leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Solution Engineer, youll help customers boost productivity and become AI-native.

As an AI Business Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsofts AI-powered stack across every stage of the development lifecycle. Youll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. Youll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, youll help customers modernize their applications and realize the full value of Microsofts AI platform, all while enjoying flexible work opportunities.

As a trusted technical advisor, youll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications and agents into their development workflows. In summary, youll help customers modernize their applications leveraging AI and realize the full value of Microsofts platform.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsofts Copilot tools and cloud platforms.
Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or.NET).
Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft through thought leadership in developer communities and customer forums

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, 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
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

Design, develop/code, test, deploy, and maintain high-quality software solutions, ensuring efficient delivery processes and production support with a focus on automation and industry best practices.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
Design, Development and Coding: Design and code software applications by applying various programming languages to execute development methodologies. (Software Engineers MUST design AND code applications at a minimum.)
Collaboration and Communication: Gather and review software requirements, provide estimates, create design specifications, and work with engineers/architects to assess and test hardware and software interactions.
Testing and Debugging: Develop and implement automated test plans, validate test environments, data, and results, design and implement code fixes, and produce reporting.
Maintenance and Support: Troubleshoot and resolve application configuration and environment issues.
Deployment: Facilitate and support the software deployment process.

Job Contribution: An experienced professional with in-depth knowledge, applying organizational practices to resolve moderately difficult problems. Works with independent judgement on expansive projects with minimal supervision, implementing policy changes to improve functions. Actions impact efficiency costs, schedules and client relationships. Interacts primarily within the department and with General Managers and above across various teams.
Designs and codes modules of complex applications or smaller less complex applications. Ability to design domain specific functions. Builds software as craftsmanship and implements high-quality code that adheres to the company standards in coding, testing and security.

Our XR Tech organization in Tel-Aviv is focused on research and development of machine perception technologies from early concepts to production level across all of Metas RL products and surfaces including AR/VR products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including mixed reality, scene and object understanding, world-scale mapping, avatars, AR/VR remote presence / calling, digital fashion, AR Sharing, and more.

Your job will be to both manage and partner with groups working across the full spectrum from research to product development, managing our technical investment portfolio supporting Tracking and SLAM for AR/VR products across different timelines. You will oversee and be responsible for a broad array of state-of-the-art technology areas and product integrations. Prospective candidates should have sufficient technical depth and breadth in the associated set of technologies to make portfolio management, resourcing and roadmap decisions.
Engineering Manager, Computer Vision Responsibilities
Leading an organization comprised of applied scientists and engineers from prototyping across development and integration of advanced systems relying heavily on Computer Vision and Machine Learning technologies.
Owning the development of system requirements, and collaborating with respective teams to mature and integrate technologies necessary to create product architectures that can deliver these requirements.
Engaging cross-functionally with other researchers and engineers to develop concepts that advance the entire product pipeline across hardware, software, integration, infrastructure, and applications.
Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.
Recruit world-class talent and provide technical leadership and guidance to both your team members and your project peers.
Set clear expectations and create a positive work environment based on accountability, in collaboration with the engineering and management teams.
Coordinating with research, user research, art, partnership and legal to both define and execute technology development with key partners & suppliers.
Operate strategically and tactically. Working closely with various organizations to define and execute the long-term strategies and roadmaps and help set direction while staying on top of the day to day software development.
Provide technical leadership and guidance to both your team members and your project peers.

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, Product Responsibilities
Full stack web/mobile application development with a variety of coding languages
Create consumer products and features using internal programming language Hack
Implement web or mobile interfaces using XHTML, CSS, and JavaScript
Work closely with our PM and design teams to define feature specifications and build the next generation of products leveraging frameworks such as React & React Native
Work closely with operations and infrastructure to build and scale back-end services
Build report interfaces and data feeds
Complete large features (each with many tasks) and responsible of areas in the system independently without guidance
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

Are you an insatiably curious, deeply passionate and hands-on technologist? Are you at your best when working with engineers, architects and technology leaders on fun and hugely impactful technical challenges? If so, we invite you to join our team as a Cloud & AI Solution Engineer for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

We will be opening several new roles, and candidates should have expertise in one or more of the following areas:

Cloud Infrastructure including Cloud Migration & Modernization
Data and Analytics
AI Applications
Software, Development Tools & AI

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture & technical workshopsto accelerate adoption of Microsofts developer tools and cloud platforms.
Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in one of the following:
Software Solutions Engineer: GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices)
Data Solution Engineer: Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL, Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
Infrastructure Solution Engineer: Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance. Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
AI Applications Solution Engineer: AI Foundry & App architecture (Agentic AI framework, TensorFlow, Pytorch, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven). Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft in customer forums and technical communities through thought leadership.