Top Machine Learning Jobs in Israel

The Staff Product Manager will guide product strategy, collaborate with cross-functional teams, and leverage data to develop innovative AI solutions for travel technology.

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 Staff Software Engineer on the Intelligence Curation Team, you will lead technical initiatives, integrate AI into curation workflows, mentor peers, and collaborate across teams to enhance security intelligence.

Lead the development of large-scale ML models for advertising, manage a team of ML engineers, and drive technical strategy and business impact.

As Senior AI Product Manager, lead vision and strategy for monday vibe, drive innovation in AI app creation, and collaborate across teams to deliver impactful features.

Build IDE experiences integrating AI tools, work on prompt optimization and agent tools, and prototype innovative UIs for Datadog's development environment.

Lead and develop the ML team, design and evolve deep learning models for advertisers, and drive measurable business impact through effective modeling strategies.

Lead the Machine Learning team focusing on model design and production implementation. Directly impact advertiser performance through scalable solutions and guide the development of ML engineers.

Lead the design and evolution of ML models, guide team members, and ensure end-to-end ML delivery in production to improve advertiser performance.

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.

As Senior AI Product Manager at monday.com, you will define the product vision for AI-driven platforms, drive innovation, lead cross-functional teams, and ensure successful adoption of AI tools while partnering with various stakeholders.

Lead the transition to a self-hosted LLM ecosystem, optimizing model inference, developing agentic workflows, and executing fine-tuning strategies for chatbot enhancement.

Arago is seeking ongoing applications for a dynamic range of roles related to AI and hardware, encouraging candidates to submit their details for consideration.

As a Senior AI Engineer, you'll prototype and innovate AI-driven security systems for Tenable's product portfolio, collaborating across teams to implement scalable solutions.

The Director of Innovation and Technological Partnership will build a technology roadmap, drive AI integration, manage tech relationships, prototype solutions, and collaborate across teams.

Lead a multidisciplinary team to develop and implement AI solutions for Cellebrite's products, ensuring reliable, scalable systems and compliance with legal standards.

Lead technical projects in the System Product Engineering group by managing project lifecycles, collaborating with multiple teams, and improving product quality through advanced testing and analysis.

As an AI Engineer, you'll design LLM applications, automate workflows, and build tools for research and engineering teams. Collaborate to integrate reliable AI systems into products, while evaluating models and methodologies.

This role involves end-to-end investigation of product failures, leading multidisciplinary analysis, driving investigations, and defining debug strategies in a lab environment.

The Senior Applied ML Scientist will lead projects in predictive maintenance and root-cause analysis, translating business problems into ML solutions, and communicating insights to stakeholders.

As a Senior LLM Agents Architect, you will research and prototype AI solutions, deploy ML models, contribute to architecture design, and collaborate with teams to deliver AI-powered solutions.

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

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

The role involves architecting AI verification methodologies, developing AI tools for formal verification, and collaborating with CAD teams to enhance automation workflows.

Develop AI and LLM-based solutions to enhance design and verification processes, collaborating with cross-functional teams for efficiency.