Вакансии: AI & Machine Learning — Израиль

Develop and deploy algorithms for robots operating in real-world, unstructured environments, combining classical methods with deep learning and physical AI.

Join a multidisciplinary team developing data-driven AI/ML solutions and optimizing distributed sensors and physical systems for changing operational scenarios.

Lead an AI engineering and data science team delivering production-grade AI systems on AWS. Set technical direction and architecture, and work with enterprise customers to turn business requirements into scalable, secure solutions.

Develop algorithms for point-of-care ultrasound, connecting imaging physics, clinical needs, and product behavior. Own technical work from problem definition through evaluation and integration.

Develop and deploy AI models on specialized hardware, with a focus on quantization, performance, and accuracy. The role involves research into generative AI architectures and development of hardware-aware tools.

Develop and deploy localization algorithms for a hardware-free indoor navigation product, taking work from research and prototyping through validation and production.

Lead the company’s AI transformation, combining strategic ownership with hands-on development. Initially an individual contributor working closely with the CEO and management team, the role may grow into leading a small team.

Lead the development of foundation models and intelligent agents for financial and business workflows. Set technical direction, advance AI research, and take systems from experimentation through production.

Join a transportation technology company’s Data Science team to research, build, and improve production AI solutions that optimize fleet operations and automate high-value workflows.

Lead the development of scalable infrastructure for computer vision and natural language processing systems used in medical imaging. This hands-on role combines software engineering, technical leadership, architecture, and collaboration with research and product teams.