Top Machine Learning Jobs in Israel

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

The Director of Data Science will lead a team of Data Scientists, manage model lifecycles, drive innovation in ML/DL, and align tech with business goals.

The Product Manager will oversee the Policy Protect solution, focusing on user interface development, collaboration with engineering teams, and driving product adoption. The role involves managing product backlogs and training teams and merchants on effective policy management.

The role involves leading AI product initiatives, collaborating with engineering teams, and developing user-centric solutions while adapting in a fast-paced environment.

As a Senior DevOps Engineer in the AI R&D group, you will develop infrastructure features, implement generative AI capabilities, and ensure efficient application deployments. You will face scaling challenges while enhancing the infrastructure for AI applications.

As a Full Stack Developer, you'll develop and manage web applications, collaborate with Data Scientists, optimize databases, and lead projects to enhance technology and processes.

We seek a Data Science Lead to tackle complex ML/AI problems, manage projects, coach a team, and drive business value through data-driven solutions.

As a Senior AI Backend Engineer, you'll develop AI/ML backend solutions, manage data pipelines, and lead technical projects while promoting best practices.

Join NVIDIA's System Product Engineering team to lead test architectures for network products, ensure quality through extensive product testing, and support production scalability.

The Product Manager will lead the development of AI-powered features and collaborate across teams to enhance customer success solutions.

As a Senior Backend Engineer, you will develop scalable backend systems using AWS and NodeJS, optimize system performance, and lead the technical roadmap.

Lead technical domain for electronics suppliers, ensuring compliance from NPI development through manufacturing. Collaborate with engineering teams to optimize production processes.

As a Product Manager, you will focus on in-app formats, AI Optimization, and collaborate with cross-functional teams to drive product vision and strategy.

The AI Research Scientist will conduct advanced AI research, train GenAI models, and build AI capabilities to enhance Wix's products and data-driven projects.

As a Staff Software Engineer, design and implement a novel verification framework for validating distributed systems, leveraging AI tools for test automation and quality assurance of the Weka Data Platform.

Lead a team to design and develop AI SoCs, overseeing digital hardware design, integration, and verification, collaborating across teams to meet performance goals.

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

The Senior Machine Learning Engineer will develop and implement machine learning models, analyze data, and influence product development that impacts company revenue.

The Senior Product Manager will define the vision and roadmap for proteanTecs solutions in ATE and System Test, focusing on innovation in semiconductor testing and data analytics.

The Senior Product Manager will lead the strategy and execution for Firmware and Embedded Software solutions, bridging technical teams and stakeholders while driving innovation in electronics.

As Director of Analyst Relations, you'll manage relationships with industry analysts, develop written materials, execute programs, and help drive JFrog's market position in AI and machine learning.

The Discovery And Personalization Manager will enhance user engagement through tailored content recommendations, collaborating with various teams to integrate human insights and machine learning.

The Fraud Analytics Manager will build and lead a team focused on merchant fraud strategies, manage complex fraud analyses, and collaborate with various teams to enhance fraud prevention capabilities.

Lead initiatives in Financial Crime solutions, managing the product roadmap and collaborating with engineering, data science, and customer success teams to deliver scalable solutions.