Top Machine Learning Jobs in Israel

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.

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

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.

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.

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.

Define and design SoC/IP architecture, collaborate with cross-functional teams, lead technical discussions, drive architectural decisions, and manage functional safety compliance.

Lead product definition for ATE and System Test solutions, oversee product vision, roadmap, and coordinate with cross-functional teams to enhance semiconductor testing quality and scalability.

The Functional Safety Manager will lead ISO 26262 certification activities for SoC/firmware products, defining strategy, conducting assessments, and managing certifications.

The Product Manager will lead the development of AI-driven customer intelligence features, collaborating with cross-functional teams to enhance B2B SaaS products.

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 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.

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

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.