Top Machine Learning Jobs in Israel

Research, design, and implement advanced algorithms for 3D semiconductor metrology. Apply computer vision, machine learning, signal processing, and probabilistic modeling to analyze complex datasets, estimate error bounds, and validate solutions in collaboration with physicists, system engineers, and software developers.

Own a product area end-to-end: set strategy, define roadmap, write requirements and user stories, lead discovery with customers, prioritize backlog, collaborate with UX, R&D, sales and leadership, and drive execution for utility-focused SaaS products.

Lead product roadmap and specifications for a B2B, on-premise, AI-driven video analytics product. Define performance, scalability, and cost benchmarks for hardware-accelerated systems, collaborate with engineering, gather customer feedback worldwide, and translate technical requirements into hands-on product designs and releases.

Lead car insurance pricing strategy by identifying opportunities, building and improving pricing and risk models using actuarial methods, ML and AI tools, partnering with Data Science, Product, Engineering and Finance, defining metrics (loss ratio, rate adequacy, conversion, retention), and translating complex pricing problems into scalable product and platform requirements.

Research and build end-to-end multi-camera 3D perception models combining geometry and semantics for autonomous vehicles. Work on 3D semantic occupancy, reconstruction, detection, multi-view fusion, and production deployment on vehicles.

Leads the architecture, development, and deployment of enterprise machine learning, Generative AI, NLP, and RAG solutions on AWS. Designs scalable MLOps platforms, data pipelines, feature stores, vector search systems, and model monitoring. Advises enterprise customers, leads technical workshops, collaborates with architects and data scientists, and mentors engineers. Requires advanced Python and ML framework expertise, AWS AI/ML services experience, big data and database knowledge, customer-facing leadership, and fluency in Hebrew and English.

Design and deploy large-scale machine learning systems for ad ranking, conversion prediction, bid optimization, and recommendations. Build production pipelines for feature engineering, distributed training, model deployment, retraining, and monitoring across billions of events. Optimize distributed inference for latency and cost, collaborate with data and product teams, run online experiments, and apply modern ML research to advertising and audience modeling.

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.

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.

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.

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.

Lead a multidisciplinary team to define and deliver physical, mathematical, and AI-enabled modeling solutions for advanced semiconductor metrology. Own roadmap, bridge research to product, build partnerships, scout emerging trends, and grow technical capabilities to achieve sub-nanometer accuracy.

As an Applied AI Engineer, you will develop machine learning models, integrate AI tools into workflows, and analyze security risks utilizing AI.

Design and implement fault-tolerant, scalable backend cloud services including managed databases, managed Kubernetes, billing, monitoring, and ML services. Debug complex issues, write reliable production code, and collaborate across distributed engineering teams.

Customer-facing application engineer who deploys and optimizes Cadence verification tools (simulation, low-power, UVM/SystemVerilog, AI-driven workflows). Duties include debugging complex designs, enabling customer adoption, delivering trainings/POCs, and collaborating with R&D to influence product improvements.

Research and develop algorithms for autonomous driving planning and decision-making. Model real-world driving scenarios as optimization, learning, or algorithmic problems. Apply classical algorithms, ML and deep learning, analyze large-scale driving data, and implement production-quality C++/Python code while building on state-of-the-art literature.

The AI Researcher will research advanced AI model capabilities, develop assessment methodologies, create mitigation solutions, and support product development.

As a Research Engineer, you'll develop systems to evaluate and secure frontier AI models, create testing frameworks, and contribute to team projects and research publications.

Lead product development for AI-driven retail solutions from research to delivery, collaborate with R&D, Business, Marketing and Operations, build roadmaps with strategic clients, and manage enterprise customer relationships for computer-vision and ML products.

Build and own end-to-end features for an AI-powered email security platform, implementing frontend UIs (React/TypeScript) and backend services (Python), writing tests (Playwright/E2E), designing scalable APIs, collaborating on architecture and product decisions, and improving the engineering lifecycle and tooling.