לוח משרות דרושים AI

Are you insatiably curious, deeply passionate about the realm of AI & Copilot, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a AI Business Solutions Engineer in Were looking for an AI Solution Engineer to join our team and lead enterprise customers on their journey into the world of Copilot 365/ Studio and Agentic AI.

In this role, you will:

Drive adoption of Copilot and Agentic AI across enterprises.
Lead hands-on engagements such as POCs, hackathons, and architecture workshops.
Help customers design and build tailored AI agents that address real business needs.
Work with AI Foundry, Azure AI, and Responsible AI to deliver secure, scalable, and innovative solutions.
This is your opportunity to be part of a pioneering team, deepen your expertise in AI, and empower customers to become truly AI-native.
Responsibilities
Drive technical sales with business and IT decision makers through demos and PoCs, influencing solution design and enabling production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsoft Copilot tools and cloud platforms.
Build trusted relationships with developers and platform leaders, co-designing secure, scalable architectures and solutions.
Resolve technical blockers and objections, collaborating closely with engineering teams to share insights and continuously improve products.
Maintain deep expertise in AI Foundry & Application Architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and in cloud-native app development (APIs, containerization, microservices, event-driven architectures, Python, Java, or.NET).
Expand expertise in AI Management & Security (GenAI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft as a thought leader in developer communities and customer forums.

Come and be part of a dynamic team focused on securing cutting-edge AI and cloud technologies in a rapidly evolving threat landscape. We are leading new initiatives and research projects across AI Security, Identity Protection, and SaaS Defense, and this role offers a unique opportunity to help define the rules of the game. AI is transforming the way we interact with computers and machines and defining new cybersecurity problems and opportunities - we are looking for a Principal Researcher who can help us stay ahead of the curve. In this role, youll research and build defenses across AI systems, agentic protocols, Identity platforms, and SaaS applications. One day you might analyze a new class of AI prompt injection attacks or Agents abuse, the next youll be hunting through data or creating novel protection mechanisms for them. Youll work closely with product teams to turn research prototypes into real security features. Join our threat protection research team and be part of a team who contributes to Microsofts most advanced and innovative security solutions. Our mission is to help everyone to counter cyber threats by strengthening their security capabilities across their entire environment, including Identities, Agentic AI systems, Cloud and Applications. 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
Research and develop detection methods for new and advanced attack techniques -from exploits to implants. Build end-to-end PoCs, from offensive testing to scalable detection, across all our cloud and identity platforms. Stay up to date on the latest attack trends and build strong detections across the kill chaincovering agentic AI & LLM threats, cloud and identity-based attacks. Collaborate with multiple product and engineering teams to design the next iteration of security products, implement detection ideas and validate their effectiveness using a data-driven approach. Collaborate with data science teams to drive ML based protections, understand, and identify detection gaps, capabilities, assumptions, and improvements. Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In Platforms and Devices (P&D) AI Innovation and Research (AIR), we collaborate with the leading professionals in the functional areas of computer vision, graphics, machine learning, and AI to develop techniques to solve problems for the consumer facing imagery space.

As a product manager in this space, you will work with research scientists to create new approaches to solve consumer issues, and apply those approaches by designing, and implementing features that help to drive Google level goals.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities
Partner with research counterparts to drive new investments and a product/tech road map for innovation.
Execute on 0 to 1 differentiating AI video experiences that can disrupt the smartphone space.
Collaborate with Google Deepmind and across product areas like Pixel Camera, and Google Photos to build these experiences.
Work with Marketing, Comms, and creative agencies to tell the story of these experiences.

We are looking for an Atlassian Platform Expert & Enterprise AI to join our IT Team as a temporary 1 year maternity leave (MLA) replacement, who has a passion for collaboration tools, process optimization, and IT service management, who has a desire to streamline workflows, improve user experience, and ensure the successful implementation and management of Atlassian tools like Jira, Jira Service Desk, and Confluence.
We use an interesting and mixed technology stack: Jira Software, Jira Service Management, Confluence (Wiki), and integrations with various internal systems and third-party tools.


In this position, you will use your expertise in configuring Atlassian tools and will drive the implementation and continuous improvement of Jira-based workflows, manage Jira Service Desk projects, maintain documentation in Wiki, and ensure the delivery of high-quality solutions aligned with business needs.



Key Responsibilities
Manage and design Jira Service Management projects, workflows, screens, custom fields, SLAs etc.
Develop and maintain custom automation rules, queues, forms, and dashboards to improve efficiency and visibility
Collaborate with stakeholders across Check Point departments to gather requirements, provide solutions, and ensure alignment with organizational goals
Monitor system performance, manage platform upgrades, and apply best practices for platform reliability and scalability
Create and deploy AI based projects or solutions that enhance business operations, drive innovation, and improve decision making across various domains

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Intuit is seeking a Staff-level Senior Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems. Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.

In this role, you will partner with data scientists and security researchers to define how Intuit secures AI applications.

Responsibilities
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within Intuit and externally through seminars, blogs, papers, and conference talks

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
The Content Safety Team, which is responsible for ensuring a safe environment for Intuit customers, is seeking a Senior AI Scientist. The team develops content moderation solutions for user-generated and AI-generated content across all Intuit products and utilizes advanced GenAI tools to build capabilities such as automatic labeling.

We encourage you to apply if you

Are passionate about using advanced ML techniques and evolving technology to create a safe environment for customers
Love working as part of a team of experienced AI scientists that love research and innovation just as much as they love getting models to production and making an impact
Are interested in partnering with analysts and researchers to implement your ideas into mitigation policies that keep the bad actors away
Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
Responsibilities
Develop and refine content moderation models to filter and tackle abusive content across various products, content types and modalities.
Work extensively with NLP algorithms, focusing on fine-tuning transformers and large language models (LLMs) to enhance accuracy and efficiency.
Explore and integrate advanced technologies such as Retriever-Augmented Generation (RAG) and Agentic AI to assist in the automatic labeling and classification of data.
Collaborate with a multi-disciplinary team including machine learning engineers, AI scientists, and policy experts to ensure models align with ethical standards and company policies.
Stay updated with the latest research in AI and machine learning to incorporate cutting-edge techniques into content moderation strategies.
Prepare and maintain documentation on model development, configurations, and performance metrics for both technical and non-technical audiences.
Mentor and guide junior AI scientists, fostering a collaborative and productive team environment.

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.