Top Machine Learning Jobs in Israel

Lead product strategy and execution for human-agent collaboration surfaces (boards, dashboards, composable UI). Define agentic workflows, delegation, review, and contextual UX; partner with design, engineering, and cross-platform PMs; engage customers; iterate quickly in ambiguous, fast-moving AI product space to scale agentic experiences for millions of users.

The role involves advancing LTX-Video models, designing machine learning models, conducting experiments in generative media, and collaborating across teams to implement impactful features.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Lead a team of algorithm engineers to develop and deploy large-scale, low-latency ML and deep learning models for real-time bidding and auction optimization. Define technical roadmap, own ML lifecycle (research, deployment, A/B testing, monitoring), and collaborate with Product and Engineering to drive measurable marketplace impact.

Design, build, and deploy scalable Go-based backend microservices for a cloud-native SaaS identity analytics product. Contribute to architecture, CI/CD pipelines, tests (unit and end-to-end), code reviews, and DevOps workflows; integrate AI-assisted tooling; mentor junior engineers and collaborate with product management to improve performance and scalability.

Lead vision and roadmap for an AI-powered no-code app builder. Drive ideation, prototyping, and validation of generative AI features. Lead cross-functional teams to deliver and scale product impact, define success metrics, and partner with GTM and customer success to drive adoption and integrations across the monday platform.

Lead production ML efforts for marketing and growth: build and maintain models (ARR prediction, lead scoring), own experimentation infrastructure, mentor analysts, deploy LLM/agentic solutions, and drive end-to-end impact from ideation through production and adoption.

Lead the Policy Protect product to detect and prevent ecommerce policy abuse. Collaborate with data science and engineering to build and maintain ML models, ensure analysis scalability and reliability, define KPIs, prioritize the product backlog, and drive sales opportunities by engaging merchants and partners.

Design and build AI-driven developer workflows and agents within Datadog, from prototyping to production. Implement prompt engineering, evals, and integrations with developer tools and extensions. Collaborate with product teams to productionize LLM-based features (e.g., debugging agents), iterate with users, and follow LLM/agent research to improve developer productivity.

The AI Engineer is responsible for designing, implementing, and deploying AI systems and applications, focusing on machine learning models and large language models (LLMs).

As a Data Science Team Lead, you will manage a team of Data Scientists, collaborate with cross-functional teams, develop machine learning models, and oversee their integration into production systems.

Lead and grow a distributed engineering organization building customer-facing security capabilities: proprietary scanners, AI/ML detection engines, agentic remediation, vulnerability management, and security foundations. Set vision and roadmap, drive architecture and delivery, partner with product management, establish engineering standards, and represent the group in cross-functional and customer forums.

Lead the Payment Fraud product roadmap to maximize approvals and minimize fraud by partnering with engineering, data science, analysts, and sales. Drive new market entry through vertical research, merchant engagement, pilot programs, and performance tracking (approval rates, fraud rates, chargeback impact).

Lead technical presales activities and act as the primary advisor for customers, providing solutions and demonstrations while driving RFI and RFP responses.

Lead product vision, strategy, and roadmap for the Velocity TDIR platform. Drive evolution to an AI-powered MDR/Security Operations platform, partner with security and engineering teams, engage customers, prioritize product investments, and measure adoption, analyst efficiency, and market differentiation.

The Research Scientist will evaluate and develop AI models for new sensing modalities, prototype hardware, and benchmark new technologies against current inspection methods.

Design, build, and deploy production ML systems for a mobile-gaming loyalty platform using high-volume behavioral data. Create real-time models for marketplace matching, dynamic pricing, personalized recommendations, fraud detection, and game-economy simulation, owning end-to-end delivery and iteration.

The Senior Program Manager will lead multiple squads, manage project workflows, collaborate on cybersecurity solutions, and drive innovation and team performance.

Design, implement, and maintain real-time blockchain detection systems. Analyze large datasets, develop and test heuristics and scoring logic, investigate incidents, and partner with researchers to operationalize and tune production detection modules.

Lead product definition for ATE and System Test solutions, oversee product vision, roadmap, and coordinate with cross-functional teams to enhance semiconductor testing quality and scalability.

Lead post-silicon and system-level data analysis to diagnose silicon and system issues, integrate proteanTecs analytics into customer environments, support customers, and collaborate with R&D and data science to validate and improve analytics solutions.

Drive territory development and close new business with Digital Native and enterprise accounts. Build relationships from engineers to executives, evangelize Aerospike solutions, manage pipeline and forecasts in Salesforce, deliver technical presentations, and support regional events to exceed quota.

The Machine Learning Engineer will design and optimize LLMs for code generation and automate engineering workflows while collaborating on AI-powered features.

The HR Director will lead HR initiatives in Israel, ensure compliance with local laws, support hiring and performance management, and act as a trusted advisor to leaders while fostering a positive employee experience.

As a Full Stack Developer, you will develop and manage web applications, collaborate with Data Scientists, optimize databases, and lead technology initiatives in healthcare.