Top Machine Learning Jobs in Israel

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.

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

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

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.

The AI Engineer is responsible for designing, implementing, and deploying AI systems and applications, focusing on machine learning models and large language models (LLMs).

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.

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

Seeking a Junior Application Engineer to support technical success and customer satisfaction in high-impact projects. Responsibilities include implementing RTL2GDS flows, using Cadence/Synopsys tools, and interfacing with customers, along with analytical problem-solving skills.

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

The Functional Safety Manager will lead ISO 26262 certification activities, define safety strategies, run risk assessments, and manage certification documentation.

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

Lead development of AI-driven verification tools and environments, integrate ML/LLM agents into verification flows, automate testbench generation and debugging, collaborate with EDA and design teams, and train teams on human-in-the-loop AI methodologies.

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

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

Develop and optimize algorithms for energy management and anomaly detection, collaborating with teams to deliver production-ready code and analyzing data sets.

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

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

The Lead Machine Learning Engineer will design and develop scalable AI solutions, perform research on ML algorithms, and oversee model training, ensuring optimal performance and integration.

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.

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

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