משרות בתחום מחקר בישראל

Conduct applied AI research and develop agentic software engineering systems for internal engineering teams. Build and evaluate prototypes, then collaborate with AI engineers to turn validated approaches into reusable components.

Advance applied machine learning research for pharmaceutical R&D, developing novel methods for scientific and decision-making workflows. Collaborate across research and engineering teams to validate methods and translate promising findings into reference implementations.

Research and develop quantum solutions to practical problems, connecting quantum information theory with application-driven algorithms and hardware-aware implementation. Work with experimental, theoretical, compiler, control, and hardware teams.

Lead an algorithms team responsible for processing real-world data from multiple sensor types, from raw signals through reconstruction and target characterization. Combine hands-on algorithm development with technical leadership, prioritization, and people management.

Develop algorithms for next-generation optical metrology of semiconductor devices, from feasibility research and solution development through qualification and implementation on tools. Collaborate in a multidisciplinary environment and engage with internal and external colleagues.

Lead the algorithms team within a geotechnical group, combining people leadership and hands-on development. Own the processing chain for noisy field data from multiple sensors, from raw signals to customer-facing underground maps.

Conduct applied research spanning AI, data systems, information retrieval, and large-scale storage. Develop and evaluate research ideas, publish findings, and partner with engineering and product teams to bring research into production capabilities.

Join an AI research team developing machine learning models for enterprise decision-making. Work across the research lifecycle, from exploring new methods to evaluating and deploying models.

Join a product security company’s research team to study AI security agents and develop applied AI systems used by customers.

PhD students will research, design, and implement advanced scientific and AI solutions, taking projects from initial research through production deployment. Interns are matched with a team based on their research interests. Internships are not remote; duration and full-time or part-time format vary,