Top Machine Learning Jobs in Israel

The VP R&D will lead the technology unit, drive platform evolution, oversee engineering teams, and implement AI capabilities to align technology with business goals.

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

The Algorithm Developer will build algorithms for LLMs, collaborate with teams, and manage the lifecycle of machine learning projects.

The Algorithm Developer will create algorithms for energy management, conduct performance analysis, and collaborate with teams to enhance renewable energy solutions.

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 research efforts to develop AI products, enhance team productivity, and deliver innovative, customer-focused AI solutions by collaborating with various teams.

As an AI Scientist, you'll lead research initiatives in areas like agentic systems, ML evaluation, and data analysis, collaborating with teams to impact core products.

Lead product initiatives for AI-driven voice solutions, managing cross-functional teams, defining strategy, and driving product growth with a focus on ML models and customer insights.

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.

The Data Scientist will leverage machine learning and AI technologies to solve complex problems, lead projects, and collaborate with various teams to develop innovative solutions.

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 AI Architect will lead AI architectural guidance, hands-on innovation, and establish best practices for AI development while ensuring compliance with regulations.

The developer will implement and evaluate advanced computer vision algorithms for autonomous driving, ensuring they are production-ready and scalable. They will also adapt algorithms for real-time deployment and contribute to the development of new solutions.

The Head of Data Analytics will build and lead Chargeflow's data platform and strategy, overseeing data infrastructure and analytics for product development and operational efficiency.

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

Join a dedicated team as a Senior Backend Engineer to develop fraud prevention solutions, optimize algorithms, and mentor peers while collaborating across departments.

The researcher will investigate advanced optical communication systems, develop simulation models, and work on digital twin research for optical networks.

The AI Data Specialist will perform data-related tasks like collection, evaluation, and annotation to improve AI-generated content in Hebrew.

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 Algorithm Engineer, you will develop algorithms from sensor data for a self-watering plant product, ensuring reliability and user trust.

The Software Solutions Architect will help customers deploy NVIDIA's AI solutions, integrate software into existing ML ops, and improve model performance through collaboration and technical insights.

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.

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.

Provide expert-level technical support for semiconductor metrology tools: create and maintain hardware and service procedures, support R&D and field engineers, lead escalations, and improve tool stability through best-known methods and field-driven documentation.