Top Machine Learning Jobs in Israel

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

Lead the development and transformation of Forter's AI platform, overseeing teams and driving organization-wide AI adoption and analytics infrastructure.

Lead the product lifecycle for algorithms and machine learning systems, develop product roadmaps, and collaborate with cross-functional teams.

The Senior Data Scientist will develop and enhance tabular data classification models to improve automated decision-making and operational efficiency across Honeycomb’s insurance products.

Cloudera Solutions Engineers lead technical sales, support customer needs, design solutions, and advocate for clients, ensuring successful business outcomes.

Lead the product management team for Cortex XSIAM, overseeing the product lifecycle, collaborating across departments, and innovating B2B cybersecurity solutions.

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.

The role involves developing advanced medical technology for cardiac diagnosis, including intra-body tracking systems, signal processing, and sensor integration.

The Senior AI Software Engineer will design and develop AI algorithm infrastructure, collaborate with teams, maintain code quality, and explore new technologies in medical imaging AI solutions.

As Director of AI, lead a team of AI engineers, drive innovation, execute the AI roadmap, and ensure competitive advantage through advanced AI solutions.

The Principal Architect leads the architectural vision for SentinelOne's AI-powered platform, guiding technical strategy, ensuring scalability, and integrating advanced technologies into security solutions.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

As a Machine Learning Engineer at Tabnine, you'll develop code-focused LLMs, build multi-agent systems, and optimize AI workflows, impacting millions of developers.

Lead product line development, managing all lifecycle stages while collaborating with customers and development teams to meet business goals and satisfaction.

As a Senior Data Scientist at Melio, you will develop classification and anomaly detection algorithms using machine learning techniques and LLMs, collaborating with various teams to enhance user experience in fintech.

The Data Scientist Team Manager oversees a team of data professionals, developing machine learning solutions and managing data processes while collaborating with stakeholders and product teams.

The Machine Learning Engineer role involves deploying ML models to protect customers from cyber-attacks, optimizing ML applications, and managing the ML infrastructure and pipelines in production.

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 and mentor a team of AI and backend engineers, driving project delivery, providing technical guidance, and promoting innovation.

Lead a team of backend engineers to build and maintain AI infrastructure, ensuring scalability and reliability of ML platform systems for various applications.

Develop and deploy scalable infrastructure components for machine learning and batch processing on public cloud using IaC. Collaborate in dynamic environments and engage in design discussions.

The Field Application Engineer will support sales through technical customer support, training, troubleshooting, and analyzing customer systems for optimal HW/SW solutions.

The AI Infrastructure Lead will design and oversee the buildout of AI infrastructure, mentor engineers, and ensure scalable ML systems across the organization.

The Senior Machine Learning Algorithm Engineer will develop AI models for electrophysiology applications, collaborate on research projects, and prepare datasets. Requires 1-2 years of AI experience and proficiency in Python and AI frameworks.

The ML Ops Engineer will enhance ML infrastructure by productionizing models, implementing CI/CD, ensuring observability, and collaborating with data scientists to improve ML workflows.