לוח משרות דרושים הייטק AI  בתל אביב יפו

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies, delivering the best user experience for our customers, and providing deep visibility into workload performance through rich metrics that help users optimize their AI workloads. We are looking for highly skilled software engineers to join our Platform Group and help shape the future of AI infrastructure.
The role of a Senior Software Engineer in the Platform Group is to design and develop scalable, high-performance systems that support the next generation of AI workloads. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go
Conducting code and design reviews to uphold high-quality standards and mentor team members.

Required Head of AI
About The Position
As the Head of AI, you will lead our AI department to drive innovation and success in developing and implementing cutting-edge technologies in DL and computer vision Algorithms. We are dealing with a variety of tasks such as regression, segmentation, classification, and detection while editing millions of images every week for professionals, and holding hundreds of millions of edited images by professionals used as datasets.
Responsibilities
Leading and managing a team of AI developers to deliver high-quality projects and solutions.
Providing technical guidance, expertise, and mentorship to team members to ensure the successful execution of AI initiatives.
Developing Designing and implementing up-to-production novel, robust and efficient deep learning algorithms in the field of computer vision.
Collaborating with cross-functional teams to integrate AI technologies into various products and services.
Overseeing the design, development, and deployment of machine learning and deep learning models and recommending innovative solutions to enhance business performance.

Join our growing AI team as an AI Engineer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.

Key responsibilities

Build AI Agents that tackle recommendation, ideation, creative iteration, and video generation all tailored to solve real-world problems in marketing and advertising.
Develop large-scale AI-based automated data labeling processes.
Collaborate closely with engineers, data scientists, and DevOps to deliver robust, scalable solutions.
Optimize and improve inference workflows and model performance.
Monitor changes and ensure the quality and reliability of the AI platform.
Contribute to product and feature discussions and be an active voice in shaping our AI capabilities.

Were seeking a visionary and technically hands-on AI Lead to join Alison.ai and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.

This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.



Key Responsibilities

Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

Join our growing AI team as an Algorithm Developer and help build systems that solve complex challenges in the worlds of creative and marketing. You'll work hands-on across the stack of our AI features and have real impact on the products evolution.



Key responsibilities

Research, design, and implement state-of-the-art algorithms in Generative AI.
Work closely with researchers & engineers to bring prototypes into production.
Optimize algorithms for scalability, cost, and performance in cloud environments.
Collaborate with product teams to translate business needs into algorithmic solutions.

Were looking for a seasoned R&D Team Leader to join our top-notch technology R&D team, reporting directly to the VP R&D. In this role, you will drive technological innovation, oversee the development of cutting-edge features, and guide the team in delivering scalable, high-quality products. You will combine hands-on technical leadership with strategic oversight, ensuring that our platform continues to evolve and deliver impactful solutions for our clients. As part of an AI-first company, our web team is deeply involved in creating and integrating AI-driven features to enhance our digital offerings.



Key Responsibilities:

Lead the R&D team in developing new features and enhancing our platform.
Oversee the end-to-end development lifecycle, from ideation to deployment.
Ensure high-quality code, scalable architecture, and smooth product delivery by implementing best practices in software development.
Mentor and support team members in their professional growth.
Troubleshoot and resolve complex technical challenges in collaboration with the team.
Collaborate with cross-functional teams including Product, Data, and AI to align development efforts with company goals.
Drive innovation and stay updated on new technologies to keep us at the forefront of the industry.

A global leader in hybrid cloud security. We bring a new approach that uses the attackers perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems.
We are seeking a highly skilled and motivated backend Engineer with a Generative AI orientation to join our Infra team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line. This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic. As a backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance. Responsibilities:
* Develop and maintain a centralized microservice that handles all AI model interactions.
* Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
* Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
* Define and enforce best practices for model governance, security, and compliance.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people.
Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team that is building AI platform for operating AI factories to make a lasting impact on resilient operations of AI clusters.
What will you be doing:
You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.
develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!
deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

we are a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the worlds largest data centers, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, our company has a long history of providing secure solutions for AI products and securing the AI pipeline.
We are seeking expert AI engineers who are passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high-performance networking systems.
What you'll be doing:
Research novel AI techniques to secure next-generation networks and apply them to existing our company products.
Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
Collaborate with our company researchers to explore innovative ways to improve security in networking products.
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio.

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systemsmaking observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.