Вакансии: AI & Machine Learning

Join an autonomous-driving software team developing deep learning optimization solutions for efficient inference on low-power vehicle hardware. The role focuses on Python and PyTorch development across the full software lifecycle.

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 developing production AI systems that transform noisy, unstructured web data into reliable insights. The role leads initiatives using large language models, autonomous agents, retrieval-augmented generation, and applied machine learning.

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-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 an engineering team developing production AI for digital assessment systems used by universities and colleges. The role combines independent research with practical machine learning implementation, focusing on exam integrity, behavioral analysis, explainable AI, and educational assessment and ​

Join an R&D team developing end-to-end algorithms for RF systems, including radar, GNSS, communications, and electronic intelligence applications. The role combines physical modeling, classical algorithms, machine learning, and deep learning throughout the product lifecycle.

Develop, integrate, and optimize real-time video streaming, computer vision, and perception capabilities for advanced remote-controlled defense platforms.