Вакансии: AI & Machine Learning

Conduct advanced research on large language model inference and develop practical algorithms and software that improve latency, throughput, and efficiency on high-performance GPU hardware.

Lead applied AI research and develop practical language-model capabilities for a platform that automates global equity, tax, and compliance workflows. The role covers research direction, model development, experimentation, and collaboration with engineering and domain experts to bring research into

Lead an open-ended deep learning research program for an AI platform serving mobile gaming. Define research direction, build models, establish rigorous experiments, and mentor researchers while helping translate validated work into product capabilities.

Join an R&D team building and deploying production AI systems that transform noisy, unstructured web data into structured insights. The role focuses on LLMs, autonomous agents, NLP, and retrieval-augmented generation in a data-heavy environment.

Join a core R&D team developing next-generation AI systems for autonomous driving. Translate research into production-ready predictive models for driving decisions, balancing advanced capability with real-time and embedded-system constraints.

Join an autonomous AI research team developing conversational agents and agentic systems. You will advance NLP and deep learning research while translating new methods into production systems.

Join an autonomous-vehicle technology team developing large-scale, multitask neural networks for production vehicle systems. The role covers research, model development, optimization, and deployment for custom automotive hardware.

Join a boutique quantitative finance company building autonomous, high-frequency trading systems for institutional clients. Own the full machine learning lifecycle from research and proof of concept through production deployment, monitoring, and optimization. The role is based in Israel with an inея

Join an applied AI team developing perception and behavior models for intelligent mobile robots operating in complex, unstructured environments. Translate academic research into reliable systems through experimentation, evaluation, and production deployment. This hybrid role is based in Tel Aviv, עם

Design, deploy, and maintain machine learning systems that improve the calibration, control, and operation of quantum processors. You will develop reinforcement learning, Bayesian inference, probabilistic modeling, and agentic control solutions for noisy, non-stationary, safety-critical environments