Top Machine Learning Jobs in Israel

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

As an AI Engineer, you will build core intelligence infrastructure, automate security operations, and collaborate with researchers to deploy AI features.

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.

Lead and mentor a team of product engineers to deliver post-silicon and system-level data analytics for customers. Own technical success, drive platform integration, troubleshoot complex silicon/system issues, collaborate with R&D and data science, and champion continuous improvement of analytics workflows and customer engagements.

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.

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

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

The Software Engineer will develop full software stack for NextSilicon's hardware, focusing on high-performance solutions in a multi-threaded environment, collaborating with hardware and compiler teams.

The Agentic AI Researcher will design and develop automated systems using AI and machine learning across all business functions at UVeye, partnering with various teams and focusing on improving operational efficiency through innovative solutions.

As a Robotics AI Engineer, you will design and develop deep learning models for robot perception and manipulation, integrating them into UVeye's inspection platform while ensuring technical reliability and performance.

The Talent Acquisition Manager will lead a global team to design and implement recruiting strategies, ensuring high-quality hires and aligning with business goals in a fast-paced environment.

As a Senior Data Scientist, you will build NLP and ML models, lead projects, and drive data science solutions across B2B and B2C domains at Lightricks.

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.

The role involves designing and implementing robust ML models for automated decision-making in underwriting and risk assessment. Responsibilities include developing tabular models, managing projects end-to-end, and ensuring systems reliability.

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.

The AI Engineer will design and develop LLM-powered AI solutions, integrate data sources, optimize AI pipelines, and collaborate with teams for impactful solutions.

The Senior GenAI Program Manager will architect and manage the GenAI productivity program, driving adoption across R&D while overseeing budgets, risks, and stakeholder engagement in a complex, matrix environment.

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.

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.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

Lead pre-sales technical engagements to design and present AI-powered customer experience solutions on Genesys Cloud. Conduct discovery workshops, create demonstrations and business cases, translate technical capabilities to business value, and collaborate with account teams and partners to drive adoption of conversational AI, automation, and data-driven orchestration.

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

As a Senior Data Scientist, you will architect and implement machine learning models, influence strategy, mentor others, and tackle complex challenges in a high-stakes environment.