לוח משרות דרושים הייטק AI משרה מלאה

We are building a new team for which we are looking for highly skilled and passionate Senior AI Red Team Researchers to find new attack vectors, from initial exploitation to impact, in the emerging world of Agentic AI, LLMs, SLMs and their surrounding ecosystem.
This role is ideal for researchers who are passionate for breaking new ground in the growing world of AI and impacting the future landscape of our products.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team. We are looking for a Data & AI Architect.
Responsibilities:
Build the foundations of modern data architecture, supporting real-time, high-scale (Big Data) sports data pipelines and ML/AI use cases, including Generative AI.
Map the companys data needs and lead the selection and implementation of key technologies across the stack: data lakes (e.g., Iceberg), databases, ETL/ELT tools, orchestrators, data quality and observability frameworks, and statistical/ML tools.
Design and build a cloud-native, cost-efficient, and scalable data infrastructure from scratch, capable of supporting rapid growth, high concurrency, and low-latency SLAs (e.g., 1-second delivery).
Lead design reviews and provide architectural guidance for all data solutions, including data engineering, analytics, and ML/data science workflows.
Set high standards for data quality, integrity, and observability. Design and implement processes and tools to monitor and proactively address issues like missing events, data delays, or integrity failures.
Collaborate cross-functionally with other architects, R&D, product, and innovation teams to ensure alignment between infrastructure, product goals, and real-world constraints.
Mentor engineers and promote best practices around data modeling, storage, streaming, and observability.
Stay up-to-date with industry trends, evaluate emerging data technologies, and lead POCs to assess new tools and frameworks especially in the domains of Big Data architecture, ML infrastructure, and Generative AI platforms.

Required Research Scientist, GenAI & Computer Vision (Pixel Synthesis)
The Reality Labs organization is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and were just getting started.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as DL, Computer Vision, Affective Computing, Behaviour Understanding, and Generative AI. As a Research Scientist, you will help us develop models, algorithms, datasets, and evaluation methodologies for the generation and animation of avatars to facilitate new and engaging user experiences, and apply them to large-scale production that has the potential to reach billions of users.
Research Scientist, GenAI & Computer Vision (Pixel Synthesis) Responsibilities
Help to develop the next generation of GenAI models for avatar creation and animation.
Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
Employ knowledge in the following areas: multi-modal data processing, affective computing, generative AI, and neural rendering.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Disseminate findings of research by publishing papers in high impact conferences and journals.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

We are 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.

we are looking for an Program Manager, Internal AI Solutions to join the Production Operations team and work closely with our AI department. This role bridges the gap between technology and operations, ensuring our company adopts the most effective AI-driven tools and automation to enhance efficiency, streamline internal work processes and drive operational excellence.
What am I going to do?
You will identify, evaluate, and implement AI-driven tools (internal and third-party) to optimize workflows and automate processes.
You'll collaborate with customer care, business, product, and engineering teams to ensure seamless integration and efficiency.
As part of your job you will interview internal teams, map processes, analyze workflows to identify bottlenecks which need to be resolved.
You have a strong analytical mindset, excellent project management skills, and a passion for AI-driven innovation in business operations.

Were looking for a Product Manager to lead our companys LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.
As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.
Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.
What am I going to do?
Define the product vision and roadmap for our companys LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning and structure from conversational and behavioral data.
Drive adoption of LLM capabilities across our company by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

Were looking for a Principal Software Engineer with a builders mindset and a passion for innovation to join our AI Security team at BigID.
Youll play a key role in shaping how organizations adapt and secure their use of AI, working on new initiatives from the ground up. The ideal candidate is a hands-on technical leader who thrives in ambiguity, brings deep backend expertise, and influences cross-team architecture and product direction.
This is a unique opportunity to work on cutting-edge AI Security initiatives in a fast-paced, high-ownership environment.
What Youll Do:
Design scalable, secure solutions to complex technical challenges
Build backend services and infrastructure from the ground up
Drive architectural and technological decisions across products
Collaborate closely with cross-functional teams and mentor engineers
Review design and code to uphold high engineering standards
Explore new technologies and bring innovative ideas into production

We are looking for a Senior Product Manager to lead AI Data Security and CoPilot initiatives. In this pivotal role, youll lead the development and market launch of cutting-edge AI security and advanced CoPilot products that are central to our growth strategy.
Youll play a pivotal role in shaping the future of AI security by addressing critical challenges, from identifying and protecting sensitive data used by LLMs to ensuring robust governance and effective remediation of AI risks.
What you'll do:
Lead the development of AI Security and Governance solutions, empowering customers to adopt AI technologies with speed, safety, and responsibility, driving innovation while safeguarding their most critical assets.
Work closely with cross-functional teams, including engineering, sales, and marketing, to deliver products that address real-world security challenges, positioning as a leader in AI security and governance.
Engage directly with customers to understand their evolving needs and translate these insights into product innovations that enhance their AI security posture.
Align product development with long-term growth strategy, ensuring our AI data security suite remains at the forefront of the industry.

We seek a Lead AI Engineer specializing in prompt engineering and optimizing large language models (LLMs) for real-world applications. In this role, you will not only design effective prompts, improve model responses, and build AI agents, but also take the lead in shaping and delivering the initial AI-powered product for the company. You'll be responsible for driving the technical vision, building from scratch, and leading the implementation of AI-driven capabilities that will become a core part of our product offering.
Responsibilities:
Prompt Engineering: Develop, test, and optimize prompts for high-quality AI responses across different tasks.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
Integration & API Development: Work with software engineers to embed AI features into our product via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason, and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to secure delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.

Our Networking product security team is looking for an outstanding technical AI safety researcher with hands-on experience to help us improve the safety posture of AI systems and their infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:

Drive hands-on safety research on a wide range of AI and networking products.

Develop tools and processes to expose novel weaknesses in AI systems and preempt threats.

Participate in defining and ensuring AI development processes meet safety standards.

Partner with cross-functional teams to understand needs and implement solutions.

Be a technical focal point across multiple development and networking teams and provide hands-on AI safety and engineering expertise.

Required AI Expert Innovation | Real Estate Industry
Description
Location: Tel Aviv (Hybrid)
Reports to: CEO
Were revolutionizing the way people buy and rent new homes by empowering them with knowledge. Our mission is to give people the clarity they need to make one of lifes biggest decisions with confidence. From generating dozens of insights for every address in Israel to enabling families to truly envision life in a new home before signing a contract, were building the future of real estatedata-driven, human-centered, and insight-rich.
As the companys AI Leader, youll be a driving force behind that vision. Youll lead the research, development, and partial-implementation of AI-driven solutions that enhance our services, scale our insights, and create delightful, predictive experiences for our users. Youll collaborate across the organization to turn abstract problems into working prototypesand working prototypes into real value for our customers and company.
What Youll Do:
Lead our Innovation frontier:
Research, develop, and implement advanced solutions to solve challenges across the real estate journeyfrom smart discovery tools and predictive pricing to neighborhood livability models and customer personalization.
Design Meaningful Solutions:
Prototype and plan power critical business applications such as automation, recommendation engines, customer insights, and predictive analytics.
Drive Strategic AI Impact:
Identify high-leverage AI opportunities in alignment with our strategic goals. Youll play a key role in improving operational efficiency and creating personalized, meaningful user experiences.
Cross-Functional Collaboration:
Partner with product managers, engineers, marketing, and business leaders to integrate AI into our platforms and customer-facing products.
Rapid Prototyping & Experimentation:
Build and test AI prototypes quickly to validate ideas. Youll help us move from question to solution at startup speed.
Ethical AI Implementation:
Ensure AI development is conducted responsibly, in line with ethical best practices, data privacy standards, and our values of transparency and trust.
Turn Insights Into Impact:
Your work wont just power better productsit will help us continuously learn and evolve based on the needs, behaviors, and feedback of our users.

shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leadersyes, we really are leaderswe partner with the worlds top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

About the position
We are looking for a highly skilled Applied AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.

You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering bringing models to life in production, optimizing for performance, and building reliable systems this role is for you!

AI System Design & Productionization
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they
meet architectural, scalability, and performance standards.
Ensure models developed in research align with our product requirements, system architecture,
and real-world constraints.
Collaborate with DevOps and cloud infrastructure teams to deploy AI solutions in robust,
scalable environments.

Our Networking product security team is looking for an outstanding technical AI safety researcher with hands-on experience to help us improve the safety posture of AI systems and their infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:

Participate in defining and ensuring AI development processes meet safety standards.

Drive hands-on safety research on a wide range of AI and networking products.

Build tools and processes to expose weaknesses in AI systems and preempt threats.

Partner with cross-functional teams to understand needs and implement solutions.

Be a technical focal point across multiple development and networking teams and provide hands-on AI safety and engineering expertise.

We are building a company-wide enterprise data agent that allows employees to interact with internal knowledge and systems, such as Jira, Confluence, Slack, Salesforce, Sharepoint and Outlook, through natural language. This assistant will drive fast, accurate access to information and automate routine tasks through tool-augmented LLMs.

We're hiring a senior hands-on AI/ML Engineer to build the core agent stack, from retrieval-augmented generation (RAG) pipelines to multi-tool orchestration and secure, real-time API integrations. This role offers end-to-end ownership and the chance to shape foundational infrastructure at scale.

Key Responsibilities
Design and implement LLM-driven agents capable of multi-step reasoning, contextual memory, and tool use across enterprise APIs.
Build and optimize RAG pipelines, including chunking strategies, semantic retrieval, dynamic prompt construction, and real-time context assembly.
Integrate with organizational platforms (e.g., Slack, Outlook, Jira, Salesforce, Confluence) to provide actionable, personalized, and secure responses. Apply the Model Context Protocol (MCP) to declaratively connect LLMs with tools, memory, and execution components.
Incorporate Agent-to-Agent (A2A) protocols to support multi-agent delegation, communication, and coordination where relevant.
Design with enterprise-grade security in mind, including user authentication, data scoping, redaction, and API-level access controls.
Collaborate closely with AI product and backend engineering peers to ensure performance, reliability, and usability.