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As a Software Engineer II / Senior Software Engineer in the Microsoft Red Team, you will focus on designing, building, and delivering advanced red team tools that leverage LLMs and autonomous agents to automate and enhance red teaming operations. This role will involve building practical, production-grade security capabilities to help Microsoft stay ahead of evolving cyber threats.
Responsibilities
As a founding member of the AI Adversary Lab (AIAL) group within Microsoft Red Team, you will help shape the teams culture and practices.

Design, implement, and support AI-driven red team services using both generative and traditional AI techniques.

Contribute to red team tools for use by both human operators and AI-powered red teaming services.

Collaborate with engineers, security researchers, red team operators, and cross-functional teams globally to deliver high-quality features, drive innovation, and meet project goals.

Continuously learn and apply new technologies to improve our services.

Drive Microsofts security improvements through realistic and effective red team operations.

Work on cutting-edge technologies and become an industry leader.
Improve your skills and learn from top-notch engineers.
Tackle tough problems and find creative ways to solve them.
Push your code to millions of users every day.
Solve hard problems in a simple way using TDD and clean code.
Influence the developer community.
Contribute to the OSS community.

Research, identify, evaluate and implement the best solutions for security in Wixs production environment
Research, identify, evaluate and implement the best solutions for the platform code and services used by our developers
Work closely with development and system teams on all SDLC levels, performing security design reviews, threat modeling and penetration tests, while acting as a security mentor for developers
Investigate abnormal activity in production
Build creative tools and services to detect and solve cross-security issues

Lead the Growth Data Analytics team, a group turning complex data into decisions that move the business forward. The Team Lead will be responsible for creating strong priorities, setting a high bar for analytical quality, and supporting decision-ready outputs fast.

Lead a team of data and business analysts to deliver clear, actionable insights with measurable business outcomes

Define the acquisition and growth metrics framework and maintain a single source of truth in dashboards and models

Plan and prioritize the teams pipeline against business goals; solve pain points and keep momentum in a fast-paced environment

Partner with marketing, product, and data engineering to define, measure, and optimize core business models and user journeys

Establish pragmatic practices for quality and scale, including reviews, QA, documentation, and lightweight standards that speed up decisions

Recruit, onboard, and help analysts succeed while fostering a culture of sharp thinking, crisp communication, and ownership

We are seeking a Senior AI Product Manager to lead the strategy and execution of AI solutions optimized for edge environments for Microsofts Adaptive Cloud and Azure Arc customers. This role focuses on enabling low-latency, high-performance AI workloads that run on distributed infrastructure while integrating seamlessly with cloud services and with Microsoft Foundry products.

The ideal candidate is technical, hands-on, and deeply familiar with AI systems, capable of bridging business needs with engineering execution. You will define the roadmap, partner with engineering, and ensure our products deliver real-world impact across industries such as manufacturing, retail, and IoT.

Microsoft is a global organization, so we collaborate across time zones and occasionally travel to meet customers or attend key events.

(Bonus: If you love solving complex problems and get excited about running AI where the internet barely reaches - this role is for you!)
Key Responsibilities



Product Strategy & Roadmap
Define and own the vision for Edge AI capabilities, ensuring scalability, security, and performance.
Identify customer pain points and translate them into actionable product requirements.
Execution & Delivery
Work closely with engineering to design and deliver AI features for edge deployments.
Ensure compliance with Responsible AI principles and security standards.
Drive AI workloads and orchestration strategies for distributed environments.
Customer & Market Engagement
Engage with enterprise customers to understand edge AI scenarios and adoption blockers.
Analyze competitive landscape and ensure differentiation through innovation.
Go-To-Market Expertise
Partnering with marketing, sales, and business development to craft positioning and messaging.
Driving launch readiness, pricing, and packaging decisions.
Engaging with customers and partners to validate value propositions and accelerate adoption
Measuring success through data and metrics, customer feedback, and revenue impact.

Central Applied Science (CAS) is a research and development team, working to improve Metas products, infrastructure, and processes. We generate real-world impact through a combination of scientific rigor and methodological innovation. Our focus is on longer-term, foundational work that addresses new opportunities and challenges across the Meta family of apps. The work we do enhances the Meta family of apps that enable billions of people to communicate with each other daily.

Central Applied Science is interdisciplinary, with expertise in computer science, statistics, machine learning, and economics among many other fields. This diversity of perspectives enriches our research and expands the scope and scale of projects we can address. We deliver value through collaborative projects with other groups at Meta and with the academic community. In addition, we build and open-source technical products aligned with our areas of expertise.

We are looking for research interns to join the Product Algorithms team in Central Applied Science. The team is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally increase the magnitude of Metas successes. The ideal candidate will have extensive graduate training in computer science, machine learning, or related disciplines, and the passion to solve real world hard scientific problems. By applying your expertise and passion you will be empowered to drive impact across a range of products, infrastructure and operational use cases at Meta.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Central Applied Science (PhD) 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.
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.

As Head of Product, youll be a technical product leader shaping Hopp's future and challenging industry norms. You'll own product vision, strategy, and execution in close partnership with Hopp leadership, while diving deep into new markets, obsessing over user needs, and building products that make the status quo obsolete. On your day-to-day, youll:

Lead the product management process, collaborating with the management team to define and refine the product vision, strategy, and roadmap for Hopp
Drive market research efforts, exploring new and emerging markets to identify opportunities
Conduct and oversee user research (interviews, analytics, A/B tests, usability studies) to turn insights into actionable plans, and establish and monitor product metrics to measure success and guide decision-making
Work closely with the internal marketing team to align product features and releases with go-to-market strategies
Partner with engineering and design to define technical requirements and deliver high-quality, innovative solutions
Embrace and drive AI-powered product innovation-rethinking traditional development cycles and user experiences
Foster a culture of experimentation, rapid iteration, and continuous learning

As a Product Manager IPE, you'll own the full product lifecycle, working on internal tools like identity management, automation APIs, databases and AI bots. You'll collaborate across teams to deliver scalable and reliable solutions while championing a culture of self-service. In your day-to-day, you will:

Own the full product lifecycle, including ideation, MVP, launch, and iteration for internal tools
Map pain points across Customer Care tickets, shadow IT, and operational data, validating solutions with rapid user research and experimentation
Define and maintain the product roadmap, prioritizing by business impact, employee delight, and tech feasibility
Partner with engineering, IT-Ops, security, HR, and data teams to ship scalable, reliable, and compliant experiences
Measure what matters by setting KPIs, instrumenting usage analytics, and pivoting based on data insights
Champion a culture of self-service to reduce friction and empower employees to solve problems independently

As a Backend Developer on Wix's Document Management team, youll be at the core of our Editor platform, where you'll build and maintain the scalable backend systems that power 192+ million users' websites. In your day-to-day you will:

Develop and maintain highly scalable backend systems supporting 192+ million users across multiple Editor types
Create and optimize JSON definitions that power live site rendering and user experiences
Build robust business logic solutions for all Wix editor functionalities and workflows
Design and expose APIs to verticals and editors for seamless document manipulation
Implement high RPM services while managing complex CPU and memory optimization requirements
Deploy production-ready code daily using Node.js, Scala, and serverless architectures
Practice test-driven development and maintain clean, maintainable code standards across microservices

As a Full-stack Engineer, you'll lead the development of data-centric applications, working with cutting-edge technologies and collaborating with teams to ensure the delivery of top-notch solutions. In your day-to-day, you will:
Lead, build, and own the development of complex data-centric applications end-to-end
Be fully hands-on at both the client and server side of the stack, using functional TypeScript, Scala, Node.js, and React.js
Integrate with various big data and analytics technologies, working with both SQL and NoSQL databases
Collaborate closely with other teams, product managers, and users to lead complex projects
Invest time in your own personal growth in the frontend group at Wix, and contribute by mentoring others

Lead security efforts in your domains and reflect the security posture and gaps to stakeholders

Define and execute annual roadmaps to mitigate security risks and design secure architectures in diverse business units

Review and assess newer complex environments, discovering security gaps and creating security control in the form of policies and other mitigations

Develop best practices and security standards for the organization

Carry out proof of concepts for the latest security tools based on security needs and your own research

Work closely with DevOps team and development teams

WE drive the entire area of Administration, data governance, management, and protection in Fabric. That includes catalog, insights, labeling and policies, lineage, endorsement, cross tenant collaboration, metadata scanning, and more. 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
As a PM in Fabric HEaD you will:
Drive product usage and adoption
Define the product roadmap for areas you own to help meet Fabric Objectives (OKRs).
Define and drive feature specifications and work closely with ux and engineering teams to deliver against the roadmap you set.
Work closely with customers and support the delivery of customer facing documentation, blogs, videos, and representation in conferences.
Become a subject matter expert in your areas of ownership and Fabric in general.
Collaborate closely with partner teams and within Microsoft and outside of Microsoft
Drive cross team collaboration with teams in Israel and abroad.

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.
Job Description/Preferred Qualifications

KLA is looking for a hands-on, detail-oriented System Integrator to join our Integration Team. This role involves integration and testing of complex multidisciplinary systemsincluding optical componentscollaboration with R&D, engineering, and field service engineers, and supporting system bring-up and troubleshooting.
Key Responsibilities:
Perform integration and testing of electro-mechanical and optical systems
Run system-level diagnostics and identify root causes
Work closely with field service engineers to resolve technical issues
Ensure high standards of quality and compliance throughout the integration process
Operate lab equipment and maintain technical documentation
Collaborate with cross-functional teams to support system readiness

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.

We are the Azure Reliability team; a multidisciplinary engineering organization committed to making Azure the worlds safest and most reliable cloud. For Azures most critical services and products, we apply a Site Reliability Engineering (SRE) approach. Our software engineers work closely with product teams to enhance availability, reliability, observability, and operability across our planet-scale systems.

We prioritize long-term platform improvements through engineering over repetitive manual tasks. Increasingly, we leverage AI to detect anomalies, predict incidents, and automate operational workflows, amplifying our ability to scale reliability across Azure. Our teams contribute to product architecture, share knowledge and code, and focus on building reusable solutions that benefit multiple teams and services.

Were not looking for people who know it all, were looking for those eager to learn it all. If you thrive on collaboration, embrace challenges, and see mistakes as opportunities to grow, wed love to meet you.
Responsibilities

Billions of users across the world rely on our products, and to meet this demand we design and implement world-class distributed systems.

As a Software Engineer in one of our Azure SRE teams, you will be responsible for improving the reliability of key Azure products.

The Azure SRE key focus areas are:



Building reusable automation and processes that help multiple teams meet their reliability goals. Influencing product architecture and roadmaps to ensure customer-experienced reliability is a core design principle.
Contributing directly to product code to achieve reliability outcomes. Leveraging AI to proactively detect anomalies, predict incidents, and automate operational workflows - scaling reliability efforts across complex systems.


We are looking for engineers passionate about the above areas who are also interested in:

Providing technical leadership across multiple Azure teams. Mentoring others on SRE principles, practices, and tools as well as AI usage to boost software development productivity.
Designing and developing large-scale distributed software services and solutions. Delivering best-in-class engineering by ensuring services are modular, secure, reliable, testable, diagnosable, observable, and reusable.
Collaborating with internal and external partners to support team goals. Balancing pragmatism with visiondriving continuous improvements in process and codebase. Building automation to prevent or remediate service issues before they impact users.
Driving innovation in large-scale operations by applying cutting-edge AI tools and techniques to reduce operational toil and scale reliability engineering across complex systems. Gaining a working understanding of Microsoft businesses and contributing to cohesive, end-to-end user experiences.