Вакансии: AI & Machine Learning

A defense technology organization is seeking a full-time Algorithm Engineer in Netanya to research, implement, and validate algorithms for advanced sensing technologies.

Develop end-to-end 3D perception models for autonomous vehicles. The role combines machine learning, computer vision, geometry, semantics, and production deployment on real vehicles.

Join an engineering team developing advanced defense systems and real-time optical navigation solutions. The role focuses on multi-sensor navigation using cameras, IMU, GPS/GNSS, and other electro-optical sensors.

Join an engineering team developing and optimizing software that enables machine learning and AI workloads to run efficiently on next-generation Arm compute platforms. The role spans the ML software stack and may focus on compilers, framework integration, runtimes, drivers, performance analysis, or1

Join an enterprise AI platform team in Israel to build governed agentic tooling and distributed services for AI-assisted engineering workflows across hybrid on-premises and cloud environments.

Lead and mentor an AI research team developing deep learning, NLP, and agentic solutions for data security. Set research strategy, guide experimentation, and partner with Product and Engineering to move reliable solutions from exploration into production.

Lead client-facing AI and agentic-AI solution strategy, enterprise architecture, presales, and delivery for major organizations. Build executive relationships, shape opportunities, guide multidisciplinary teams, and develop production-ready solutions across data, cloud, integrations, governance, and

Join a distributed research team developing foundational advances in machine learning, physical and embodied AI, computer vision, and generative modeling. The role combines academic research, collaboration, publication, and translation of research into practical impact. Hybrid working patterns are确定

Join a generative AI engineering team developing scalable models and customer-facing solutions. The role combines model architecture, optimization, deployment, evaluation, and data pipeline development across cross-functional teams.

Lead the development of a new AI team responsible for shared AI infrastructure, developer tools, engineering standards, and production AI experiences within a cybersecurity software company.