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Required Senior Backend Engineer - Posture
The Job
Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
Responsibilities
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our Sensor.
This team owns the entire endpoint agent, which is the backbone of our collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope. As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas. You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?:

* Take leading roles in projects such as search engine ranking, promoted ads in Fiverr’s search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
* Work closely with various departments in the company to provide advanced Data Science solutions end to end.
* Write and own production models and code.
* Independent research and innovation in new content and technological domains.
* Lead and advise other team members.
* Continuously produce new initiatives and improvement ideas.
* Act as a leader of Fiverr’s AI platform. Develop models and framework solutions for the group.

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

Required Director of AI Agents Research
The Job
Were on an expedition to find someone whos passionate about creating intuitive, out-of-this-world scalable, high-performance systems that power the future of AI. You'll lead an organization of engineers , MLOps teams, and more to redefine the next AI agentic infrastructure for multiple use cases across the product and organizations.
Responsibilities
Suggests AI strategy aligned with company goals (e.g., automation, personalization, product innovation).
Oversees AI research and development Mannaging Engineers , AI engineering, and MLOps teams.
Evaluates AI opportunities identifies where AI can deliver value and ensures ethical, scalable implementation.
Collaborates with executives to translate business needs into technical roadmaps.
Builds AI governance: compliance, ethics, and model accountability frameworks.
Collaborate with Engineering, Product, Security.

Required Automation Engineer
Tel Aviv Full-time
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world quality testing. In this role, youll play a critical part in developing innovative testing systems for our SaaS productensuring every release is fast, reliable, and built to scale.
Responsibilities
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

Were looking for a hands-on AI Cyber Intelligence Engineer - in the domain of network attack surface. Someone who lives and breathes network security, loves exploring how attackers move through real environments, and is excited to shape how AI can automate and extend that process.
In this role, youll analzse real-world environments, identify potential attack vectors, and work closely with our AI engineering teams to translate your domain expertise into actionable, intelligent workflows. Youll play a key role in guiding how our platform learns to think and act like a top-tier security analyst.
Responsibilities
Analyse complex network environments, configurations, and security controls to map topologies and identify weaknesses or lateral movement paths.
Research and model attacker behaviour and detection strategies, guiding how AI systems reason about threat scenarios.
Collaborate with AI engineers to shape agentic flows - defining the logic, prompts, and reasoning patterns that replicate expert investigative thinking.
Conduct hands-on assessments of enterprise networks to validate and improve automated detection and response capabilities.
Stay current on evolving attack tactics, network security technologies, and AI-driven threat detection trends.
Act as a security subject matter expert for cross-functional engineering teams.

Required Senior NLP Researcher
Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

Required MLOps Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads.

Required ML Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design and optimize LLM serving infrastructure using inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Implement and tune distributed inference strategies including tensor parallelism, pipeline parallelism, and multi-node serving
Develop and apply model compression techniques to optimize cost, latency, and memory footprint while maintaining model quality
Build self-service fine-tuning platforms that enable data scientists to run experiments (LoRA, QLoRA, full fine-tuning) in a standardized, reproducible, and governed manner
Optimize inference performance through batching strategies, KV-cache tuning, and speculative decoding
Develop reusable APIs, abstractions, and platform services for model deployment, scaling, and lifecycle management
Collaborate with AI researchers and product teams to productionize models and meet latency/throughput requirements
Evaluate and benchmark new model architectures, compression methods, and serving frameworks.

Required AI/ML Engineer AI Foundations Group
Tel Aviv Full-time
About The Position
Our AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.
Our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.
The Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI systems and ML pipelines to join our AI group. You'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. Youll work closely with data scientists to translate research into scalable solutions and manage model deployment in both cloud and on-prem GPU environments.
Responsibilities
Design, build, and deploy production-grade ML models, AI agents, and end-to-end pipelines across cloud and on-prem GPU environments.
Maintain and optimize ML systems for performance, scalability and reliability, including model validation, inference speed, and resource efficiency.
Develop monitoring and observability tools such as alerts and performance metrics to ensure system stability in production.
Create and integrate APIs for ML services within microservice-based architectures.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.

Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the worlds most widely deployed GPU architecture Mali. As a Principal Verification Lead Engineer, youll guide the technical direction for complex GPU verification programs, mentor talented engineers, and influence methodologies that set the standard for our next-generation graphics processors. Your work will make a visible impact across multiple projects, ensuring that our technology continues to deliver outstanding performance and quality for millions of users worldwide.

What Youll Do:
Define and lead verification strategies for sophisticated GPU systems.
Shape and evolve verification methods and frameworks to improve coverage, scalability, and efficiency.
Anticipate challenges and design practical, forward-thinking solutions that help multiple teams succeed.
Lead the Technical Vision:
Take full ownership of end-to-end verificationplanning, execution, and deliveryfor advanced GPU components and subsystems.
Apply advanced techniques such as coverage-driven, random, and formal verification.
Be responsible for verification reviews, sign-offs, and integration of block-level and system-level environments.
Collaborate and Influence
Act as the primary technical contact across Architecture, Design, and Product teams.
Coach and mentor engineers, helping them grow their skills and confidence.
Chip in to continuous improvement in our verification tools, flows, and CI systems.
Innovate with Purpose:
Bring creativity and technical excellence to how we verify hardware.
Drive automation and efficiency through scripting and next-generation verification tools.
Represent our leadership in verification internally and externally.